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Social Media Data Mining With Raspberry Pi (Part 3: Operating Systems)
 
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This video is third in a series that walks through all the steps necessary to mine and analyze social media data using the inexpensive computer called a Raspberry Pi. Part 3 describes the two operating system environments of the Raspberry Pi: the Windows-like graphic user interface and the Linux text-based terminal environment.
Views: 1248 James Cook
Data mining robots: using Seaborn and pandas with the Robot Operating System (Catherine Holloway)
 
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PyCon Canada 2015: Talk Description: The Robot Operating System (ROS) is an open-source project that facilitates communication between robotic components such as motors, cameras, and other sensors, and computational nodes such as movement commands and pose estimation. However, acquiring and analysing data from ROS can be a little tricky. In this talk, I will go over a few examples of loading data from saved files and live ROS processes using Python with the pandas and Seaborn libraries.
Views: 2239 PyCon Canada
A look inside America's largest Bitcoin mining operation
 
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Start mining Bitcoin today: https://pool.bitcoin.com/index.html?code=xNF8r7 Video: Inside America’s largest Bitcoin mining operation http://bitshare.cm/news/inside-americas-largest-bitcoin-mining-operation/
Views: 949013 David
What is Bitcoin Mining?
 
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For more information: https://www.bitcoinmining.com and https://www.weusecoins.com What is Bitcoin Mining? Have you ever wondered how Bitcoin is generated? This short video is an animated introduction to Bitcoin Mining. Credits: Voice - Chris Rice (www.ricevoice.com) Motion Graphics - Fabian Rühle (www.fabianruehle.de) Music/Sound Design - Christian Barth (www.akkord-arbeiter.de) Andrew Mottl (www.andrewmottl.com)
Views: 6624377 BitcoinMiningCom
Social Media Data Mining with Raspberry Pi (Part 2: Raspbian OS Setup)
 
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This video is the second in a series that walks through all necessary steps for social media data mining and analysis with Raspberry Pi. Part 2 briefly describes installation of the operating system Raspbian from a NOOBS micro SD card and initial login. Part 3 will outline the Raspian operating system. Recorded for the University of Maine at Augusta.
Views: 1205 James Cook
Weka Data Mining Tutorial for First Time & Beginner Users
 
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23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 427946 Brandon Weinberg
Difference between Classification and Regression - Georgia Tech - Machine Learning
 
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Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud262/l-313488098/m-674518790 Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud262 Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Views: 65425 Udacity
Four Operating Systems on ONE Monitor
 
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Thanks to Synergy for sponsoring this video! Save 50% on Synergy 2 when you sign up at https://symless.com/synergy/linus34 Everyone who purchased Synergy 1 OR Synergy 2 through our URL codes, will have access to BOTH versions for life. Buy LG 43" UD79 on Amazon: http://geni.us/KpsbA Discuss on the Forum: https://linustechtips.com/main/topic/904116-four-operating-systems-on-one-monitor-%E2%80%93-synergy-2-showcase/ Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/75969-linus-tech-tips-affiliates-referral-programs-and-sponsors Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/LinusTechTips/ Linus Tech Tips posters at http://crowdmade.com/linustechtips Our production gear: http://geni.us/cvOS Get LTX 2018 tickets at https://www.ltxexpo.com/ Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Glamtage Music: Title: We Would Never Do (feat. Nevve) by Taska Black Listen on Spotify: https://open.spotify.com/track/3VtEB8PuRNITbgAAbHUieL iTunes Download Link: https://itunes.apple.com/ca/album/we-woud-never-do-feat-nevve/1341100876?i=1341100878&uo=4&&app=itunes&at=1010ls5U&ct=LFV_d6a43ebaaa29f5db51481eda8a3b707d Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxmFU3lWY iTunes Download Link: https://itunes.apple.com/us/album/supernova/id936805712 Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnirvana Sound effects provided by http://www.freesfx.co.uk/sfx/
Views: 1454846 Linus Tech Tips
Building a Robot Operating System for the Future
 
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Depending on whom you ask, the Robot Operating System—or ROS—is kind of like the plumbing in a house. Or it’s like a set of Lego building blocks. Or the human nervous system. However you describe it, ROS is everywhere. It's the shared system of underlying code that powers robots around the world, from the hobbyist creations in a garage to industrial robots at Toyota. It's also the focus of the latest episode of Ventures, a video series about startups from Bloomberg Technology. ---------- Like this video? Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg?sub_confirmation=1 Bloomberg is the First Word in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com Connect with us on... Twitter: https://twitter.com/business Facebook: https://www.facebook.com/bloombergbusiness Instagram: https://www.instagram.com/bloombergbusiness/
Views: 26306 Bloomberg
Data Cleaning Process Steps / Phases [Data Mining] Easiest Explanation Ever (Hindi)
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
data mining technology
 
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Views: 459 jojo20
10 Reasons why Linux is Better Than MacOS or Windows
 
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There are many reasons to like Windows, MacOS or Linux, but which OS offers more potential for the user in the long run? Here’s 10 reasons why Linux is better than MacOS or Windows. This video is my opinion, enjoy! If you enjoyed this video, please like, subscribe and share! Drop a comment if you have some time. For more great videos, please visit: http://fastgadgets.info Social Media: http://facebook.com/FastGadgetsChannel Apple IIe Programming video source: https://www.youtube.com/watch?v=BEDVjg5y0Hg "House" music courtesy http://bensound.com
Views: 827723 FastGadgets
Detect malicious android applications with data mining techniques
 
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A diploma thesis of one of my undergraduate students. Mr. Konstantinos Ousantzopoulos. ABSTRACT The Android operating system gives access to applications based on model of permissions. In this work we use the permissions of safe and malicious applications as a data structure to excavate knowledge so that we can predict if an application from Google Play is safe or malicious using Rapidminer various data mining techniques and algorithms to get the best possible result. We will show the way data was collected and their analysis to arrive at a desired result which we will apply with an android application and a Java server. The user through a simple android application will be able to type the name of the application on Google Play which wants to check. Then the application will communicate locally with the server where the analysis and prediction through Rapidminer take place . Finally it returns to the screen of the user the prediction whether the application he searched is malicious or not.
Machine Learning #49 Bootstrapping & Cross Validation
 
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Machine Learning #49 Bootstrapping & Cross Validation Machine Learning Complete Tutorial/Lectures/Course from IIT (nptel) @ https://goo.gl/AurRXm Discrete Mathematics for Computer Science @ https://goo.gl/YJnA4B (IIT Lectures for GATE) Best Programming Courses @ https://goo.gl/MVVDXR Operating Systems Lecture/Tutorials from IIT @ https://goo.gl/GMr3if MATLAB Tutorials @ https://goo.gl/EiPgCF
Views: 2945 Xoviabcs
Constraints Based Frequent Pattern Mining ll All Constraints Explained in Hindi
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Discrete Mathematics (DM) Theory Of Computation (TOC) Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Netflix Movie Recommendation System | Applied Artificial Intelligence Case Study data mining
 
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Follow me on Facebook facebook.com/himanshu.kaushik.2590 Subscribe to our channel on youtube to get latest updates on Video lectures Our video lectures are helpful for examinations like GATE UGC NET ISRO DRDO BARCH OCES DCES DSSSB NIELIT Placement preparations in Computer Science and IES ESE for mechanical and Electronics. Get access to the most comprehensive video lectures call us on 9821876104/02 Or email us at [email protected] Visit Our websites www.gatelectures.com and www.ugcnetlectures.com For classroom coaching of UGC NET Computer Science or GATE Computer Science please call us on 9821876104 This video is about the case study of Netflix movie recommendation system using artificial intelligence and machine learning For complete course visit our website www.appliedaicourse.com and subscribe to our youtube channel. data scientist computer science case study data mining algorithms Links of Our Demo lectures playlists Our Courses - https://goo.gl/pCZztL Data Structures - https://goo.gl/HrZE6J Algorithm Design and Analysis - https://goo.gl/hT2JDg Discrete Mathematics - https://goo.gl/QQ8A8D Engineering Mathematics - https://goo.gl/QGzMFv Operating System - https://goo.gl/pzMEb6 Theory of Computation - https://goo.gl/CPBzJZ Compiler Design - https://goo.gl/GhcLJg Quantitative Aptitude - https://goo.gl/dfZ9oD C Programming - https://goo.gl/QRNx54 Computer Networks - https://goo.gl/jYtsCQ Digital Logic - https://goo.gl/3iosMc Database Management System - https://goo.gl/84pCFD Computer Architecture and Organization - https://goo.gl/n9H69F Microprocessor 8085 - https://goo.gl/hz5bvv Artificial Intelligence - https://goo.gl/Y91rk2 Java to Crack OCJP and SCJP Examination - https://goo.gl/QHLKi7 C plus plus Tutorials - https://goo.gl/ex1dLC Linear Programming Problems - https://goo.gl/RnRHXH Computer Graphics - https://goo.gl/KaGsXs UNIX - https://goo.gl/9Le7sX UGC NET November examination video solutions - https://goo.gl/Wos193 NIELIT 2017 Question paper Solutions - https://goo.gl/w9QkaE NIELIT Exam Preparation Videos - https://goo.gl/cXMSyA DSSSB Video Lectures - https://goo.gl/f421JF ISRO 2017 Scientist SC paper Solution - https://goo.gl/bZNssE Computer Graphics - https://goo.gl/uWwtgw Number System Digital logic - https://goo.gl/7Q1vG1 Live Classroom Recordings - https://goo.gl/pB1Hvi Verbal Aptitude - https://goo.gl/oJKwfP Thermodynamics - https://goo.gl/BN5Gd6 Heat and Mass Transfer - https://goo.gl/Lg6DzN Pre and Post GATE Guidance - https://goo.gl/k5Ybnz GATE Preparation Tips by Kishlaya Das GATE AIR 37 - https://goo.gl/jfFWQp #GATE #UGCNET
Views: 1207 DigiiMento Education
▶ What is Data, Information, Database and Data Warehouse in Data Mining | Data Mining Tutorial
 
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See Full #Data_Mining Video Series Here: https://youtu.be/t8lSMGW5eT0 In This Video You are gonna learn What is Data? What is Information? What is Database? What is Data Warehouse? »See Full #Data_Mining Video Series Here: https://youtu.be/t8lSMGW5eT0 In This Video You are gonna learn Data Mining #Bangla_Tutorial Data mining is an important process to discover knowledge about your customer behavior towards your business offerings. » My #Linkedin_Profile: https://www.linkedin.com/in/rafayet13 » Read My Full Article on #Data_Mining Career Opportunity & So On » Link: https://medium.com/@rafayet13 ডেটা শব্দটি ল্যাটিন শব্দ ডেটাম এর বহুবচন। যার বাংলায় অর্থ দাঁড়ায় উপাত্ব। নাম্বার, লেটার, সিম্বল সবকিছুই ডেটা। ডেটাকে প্রসেস করলে যা পাওয়া যায় তা-ই মুলত ইনফরমেশন। ডেটা যেখানে রাখা হয় তাকেই ডেটাবেজ বলে। সাধারণত ডেটাবেজে টেবিল, কলাম , রো এর সাহায্যে অরগেনাইজড অবস্থায় ডেটা রাখা হয় । কয়েকটি ছোট ছোট ডেটাবেজ মিলে একটি ডেটা ওয়্যারহাউজ তৈরি করা হয়।
Views: 1546 BookBd
Attribute Subset Selection Easiest Explanation Ever [Data Mining](HINDI)
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Market Basket Analysis And Frequent Patterns Explained with Examples in Hindi
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Discrete Mathematics (DM) Theory Of Computation (TOC) Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Attributes (Nominal, Ordinal, Binary, Numeric) [Data Mining](HINDI)
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
FP Tree Algorithm For Construction Of FP Tree Explained with Solved Example in Hindi (Data Mining)
 
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FP Tree Construction Correction video https://youtu.be/8eAorA2lhYc 📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5-MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Theory Of Computation (TOC) Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5-MINUTES ENGINEERING 📚📚📚📚📚📚📚📚 #FPTree #ConstructionOfFPTree #DataMining
Facebook Friend Recommendation using Graph Mining | AI Case Study
 
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Follow me on Facebook facebook.com/himanshu.kaushik.2590 Subscribe to our channel on youtube to get latest updates on Video lectures Our video lectures are helpful for examinations like GATE UGC NET ISRO DRDO BARCH OCES DCES DSSSB NIELIT Placement preparations in Computer Science and IES ESE for mechanical and Electronics. Get access to the most comprehensive video lectures call us on 9821876104/02 Or email us at [email protected] Visit Our websites www.gatelectures.com and www.ugcnetlectures.com For classroom coaching of UGC NET Computer Science or GATE Computer Science please call us on 9821876104 Real World Application of Artificial Intelligence in facebook using Graph mining. Get access to all the video lectures visit our website www.appliedaicourse.com Links of Our Demo lectures playlists Our Courses - https://goo.gl/pCZztL Data Structures - https://goo.gl/HrZE6J Algorithm Design and Analysis - https://goo.gl/hT2JDg Discrete Mathematics - https://goo.gl/QQ8A8D Engineering Mathematics - https://goo.gl/QGzMFv Operating System - https://goo.gl/pzMEb6 Theory of Computation - https://goo.gl/CPBzJZ Compiler Design - https://goo.gl/GhcLJg Quantitative Aptitude - https://goo.gl/dfZ9oD C Programming - https://goo.gl/QRNx54 Computer Networks - https://goo.gl/jYtsCQ Digital Logic - https://goo.gl/3iosMc Database Management System - https://goo.gl/84pCFD Computer Architecture and Organization - https://goo.gl/n9H69F Microprocessor 8085 - https://goo.gl/hz5bvv Artificial Intelligence - https://goo.gl/Y91rk2 Java to Crack OCJP and SCJP Examination - https://goo.gl/QHLKi7 C plus plus Tutorials - https://goo.gl/ex1dLC Linear Programming Problems - https://goo.gl/RnRHXH Computer Graphics - https://goo.gl/KaGsXs UNIX - https://goo.gl/9Le7sX UGC NET November examination video solutions - https://goo.gl/Wos193 NIELIT 2017 Question paper Solutions - https://goo.gl/w9QkaE NIELIT Exam Preparation Videos - https://goo.gl/cXMSyA DSSSB Video Lectures - https://goo.gl/f421JF ISRO 2017 Scientist SC paper Solution - https://goo.gl/bZNssE Computer Graphics - https://goo.gl/uWwtgw Number System Digital logic - https://goo.gl/7Q1vG1 Live Classroom Recordings - https://goo.gl/pB1Hvi Verbal Aptitude - https://goo.gl/oJKwfP Thermodynamics - https://goo.gl/BN5Gd6 Heat and Mass Transfer - https://goo.gl/Lg6DzN Pre and Post GATE Guidance - https://goo.gl/k5Ybnz GATE Preparation Tips by Kishlaya Das GATE AIR 37 - https://goo.gl/jfFWQp #GATE #UGCNET
Views: 1326 DigiiMento Education
Mining Multilevel Association Rules ll DMW ll Concept Hierarchy ll Explained with Examples in Hindi
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Discrete Mathematics (DM) Theory Of Computation (TOC) Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Dealing / Filling The Missing Values [Data Mining] (HINDI)
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Characteristics/Features Of Data Warehouse (Data Mining And Warehousing)  Explained In Hindi
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Apriori Algorithm in Data Mining And Analytics Explained With Example in Hindi
 
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Apriori Algorithm Explained With Solved Example Generating Association Rules. Association Rules Are Primary Aim or Output Of Apriori Algorithm. 📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Dealing With Noisy Data : Binning Technique [Data Mining] (HINDI)
 
04:08
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
INTRODUCTION TO CLUSTER COMPUTING IN HINDI
 
14:03
find relevant notes at-https://viden.io/
Views: 31284 LearnEveryone
What Is Normalization ll Min-Max Normalization Explained With Example [Data Mining] (HINDI)
 
04:26
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Sampling Techniques [Data Mining](HINDI)
 
04:30
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Data mining-Map Reduce
 
24:23
MapReduce is a programming model for processing large data sets, and the name of an implementation of the model by Google. MapReduce is typically used to do distributed computing on clusters of computers. The model is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms. MapReduce libraries have been written in many programming languages. A popular free implementation is Apache Hadoop. MapReduce is a framework for processing parallelizable problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster (if all nodes are on the same local network and use similar hardware) or a grid (if the nodes are shared across geographically and administratively distributed systems, and use more heterogenous hardware). Computational processing can occur on data stored either in a filesystem (unstructured) or in a database (structured). MapReduce can take advantage of locality of data, processing data on or near the storage assets to decrease transmission of data. "Map" step: The master node takes the input, divides it into smaller sub-problems, and distributes them to worker nodes. A worker node may do this again in turn, leading to a multi-level tree structure. The worker node processes the smaller problem, and passes the answer back to its master node. "Reduce" step: The master node then collects the answers to all the sub-problems and combines them in some way to form the output -- the answer to the problem it was originally trying to solve. MapReduce allows for distributed processing of the map and reduction operations. Provided each mapping operation is independent of the others, all maps can be performed in parallel -- though in practice it is limited by the number of independent data sources and/or the number of CPUs near each source. Similarly, a set of 'reducers' can perform the reduction phase - provided all outputs of the map operation that share the same key are presented to the same reducer at the same time, or if the reduction function is associative. While this process can often appear inefficient compared to algorithms that are more sequential, MapReduce can be applied to significantly larger datasets than "commodity" servers can handle -- a large server farm can use MapReduce to sort a petabyte of data in only a few hours. The parallelism also offers some possibility of recovering from partial failure of servers or storage during the operation: if one mapper or reducer fails, the work can be rescheduled -- assuming the input data is still available.
Views: 2603 John Paul
Social Media Data Mining & Analysis with Raspberry Pi (Part 1: Setup)
 
05:13
This video is the first in a series that walks through all necessary steps for social media data mining and analysis with Raspberry Pi. Part 1 describes all the necessary hardware for the project and how to set up that hardware in just five minutes. Recorded for the University of Maine at Augusta.
Views: 2277 James Cook
Prevent Windows 10 Spying On You, Privacy & Security Matter!
 
35:37
In this version episode of #TechTip I show you how to disable all of the spying features of Windows 10 and get your privacy back. I think Windows 10 is a great operating system once you disable all the data gathering mechanisms and return it back to a pure operating system. ▼ Be sure and watch the updated version of this video after Anniversary update ▼ https://www.youtube.com/watch?v=wgKJMsJ-6XU&feature=youtu.be ▼ Windows 10 - We're Watching T-Shirt (limited quantities!) ▼ http://www.barnaculesshop.com/products/were-watching-black-t-shirt ▼ Time Indexes ▼ 8:42 - Already have Windows 10 installed, Start here! ▼ Download Spybot Anti Beacon ▼ http://bit.ly/StopWindows10Spying ▼ Use the following links to support me & my channel ▼ Donate @ http://bit.ly/helpbarnacules Buy one of my T-Shirts @ http://shop.barnnerd.com Shop Amazon CA @ http://amazonca.barnnerd.com Discount on GT Omega Chairs @ http://bit.ly/1lA4h4K -or- Use code 'NERDGASM' at checkout! ▼ UPDATES ▼ 1) "some settings are managed by your organization" is displayed because Spybot Beacon changes some group policy settings. I didn't realize this while shooting the video but it makes sense. 2) If you notice Skype Group Chats stop working open up the HOSTS file and remove all of the entries containing MSN. I've had one report of this fixing the problem. ▼ Questions & Answers ▼ Q) I like Cortana so I don't want to disable that feature. A) That is fine, but just realized that Microsoft intentionally made Cortana dependent on the cloud meaning you have to give up your information, searches, contacts, calendar entries, etc to use her. You can't pick and chose what gets sent to Microsoft and still use the feature. It's all or nothing and I think this sends a bad message from Microsoft on what they are actually doing with that data. #TinfoilHat Q) Why do you hate Microsoft so much? A) I don't hate Microsoft, I worked there for 15 years as a Senior Software Developer. Windows is still my preferred platform that I use daily. What I don't like is the direction Microsoft is taking with regards to advertisement and marketing being the focus over the core operating system and innovation. Q) You should just run Linux! A) I like Linux but it's not in any position to be a replacement for an operating system like Windows. There is no Adobe support on Linux and it's not ideal for mainstream content creators and software developers. But who knows what the future holds if Microsoft keeps going down this dark street. Q) What is telemetry? A) It's Microsoft collecting data on your computer, what you search for, usage patterns, application usage, etc so they can analyze the data or use it for marketing. ** Full Disclosure: I worked at Microsoft for 15 years as a Software Developer and was laid off well over a year ago when Microsoft decided to get rid of the entire Windows test organization that I worked in. My goal is educate people on the best way to protect themselves while using Microsoft Windows because I still think it's the best operating system out there and I don't want to see Microsoft ruin that reputation by spying on all it's customers - https://www.youtube.com/watch?v=lRV6PXB6QLk ▼ Support me by sending BitCoin (Wallet Address) ▼ 18Su2PV63BabMZWwYEhgXC8obK1XBVveCp ▼ Get 10% off Kinesis Split Ergonomic Keyboards & Pedals ▼ http://www.kinesis-ergo.com/ [use code 'Barnacules' at checkout to get 10% off] ▼ Join my [email protected] team and help cure diseases with spare CPU/GPU cycles ▼ Barnacules Nerdgasm Team # 231300 Download Client @ http://folding.stanford.edu/ ** Top 10 contributers shown on Twitter weekly! ▼ I am now live streaming on Twitch so come give me a follow to receive notifications when I'm streaming ▼ https://www.twitch.tv/barnacules 💥 See my Amazon Store for all the products I use & review 💥 https://www.amazon.com/shop/barnacules1
Views: 2482831 Barnacules Nerdgasm
The Leading Edge: Data Mining
 
58:55
When an airplane flies, hundreds of data streams fly from it every second—pilot reports, incident reports, control positions, instrument positions, warning modes. NASA is mining terabytes of aviation data to find issues before they become incidents. Panelists include Ashok Srivastava, project manager for NASA's Aviation Safety Program, and Jeff Hamlett, flight safety director for Southwest Airlines. This program aired March 23, 2011.
Views: 835 NASA Video
What is the best Mining Software - Best Hashrate miner - Comparison between  Miners
 
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What is the Mining Software - Comparison between Miners Softwares we gonna talk in this video about how to get highest hashrate miner the most profitable cryptocurrency miner keywords: mining software, mining software setup mining software for bitcoin mining software comparison mining software repositories mining software for pc mining software 2017 mining software ethereum mining software download free mining software for raspberry pi mining software for android mining software android mining software bitcoin best bitcoin mining software free bitcoin mining software bitcoin mining software windows 7 btc mining software diy bitcoin mining software bitcoin mining software in urdu best bitcoin mining software 2016 easyminer - bitcoin mining software bitcoin mining software for pc mining software cryptocurrency cpu mining software, bitcoin mining software, data mining software, diy bitcoin mining software (part 2), bitcoin mining software deutsch, eobot mining software, best ethereum mining software mining software for ethereum mining software for windows mining software for windows 10 mining software for ubuntu mining software for linux mining software for bitcoin cash gpu mining software mining software litecoin mining software monero mining software mac minescape mining software, mining software nicehash diy bitcoin mining software (part 1) pipcoin mining software text mining software mining software virus vulcan mining software mining software windows mining software windows 10 bitcoin mining software 2016 later i will make a video how to setup each miner keywards best miner software 2017 best miner software for bitcoin best miner software for ethereum best miner software, best miner software bitcoin
Views: 12470 Fortnite Leaks ❶
Information Privacy Law 13 - Big Data and  Data Mining
 
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Script by Professor Randy Dryer, design by Aaron Dewald, University of Utah S.J. Quinney College (c) 2013
Principal Components Analysis - Georgia Tech - Machine Learning
 
04:23
Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud262/l-649069103/m-661438544 Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud262 Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Views: 251066 Udacity
Knowledge Discovery From Data (KDD) Process (HINDI)
 
04:06
Hello dosto mera naam hai shridhar mankar aur mein aap Sabka Swagat karta hu 5-minutes engineering channel pe. This channel is launched with a aim to enhance the quality of knowledge of engineering,here I am going to introduce you to every subject of computer engineering like artificial intelligence database management system software modeling and designing Software engineering and project planning data mining and warehouse data analytics Mobile communication Mobile computing Computer networks high performance computing parallel computing Operating system Software programming SPOS web technology internet of things design and analysis of algorithm
Proximity Measures Of Ordinal Attributes Explained With Example in Hindi
 
05:36
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Data Mining using R | R Tutorial for Beginners | Data Mining Tutorial for Beginners 2018 | ExcleR
 
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Data Mining Using R (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. Data Mining Certification Training Course Content : https://www.excelr.com/data-mining/ Introduction to Data Mining Tutorials : https://youtu.be/uNrg8ep_sEI What is Data Mining? Big data!!! Are you demotivated when your peers are discussing about data science and recent advances in big data. Did you ever think how Flip kart and Amazon are suggesting products for their customers? Do you know how financial institutions/retailers are using big data to transform themselves in to next generation enterprises? Do you want to be part of the world class next generation organisations to change the game rules of the strategy making and to zoom your career to newer heights? Here is the power of data science in the form of Data mining concepts which are considered most powerful techniques in big data analytics. Data Mining with R unveils underlying amazing patterns, wonderful insights which go unnoticed otherwise, from the large amounts of data. Data mining tools predict behaviours and future trends, allowing businesses to make proactive, unbiased and scientific-driven decisions. Data mining has powerful tools and techniques that answer business questions in a scientific manner, which traditional methods cannot answer. Adoption of data mining concepts in decision making changed the companies, the way they operate the business and improved revenues significantly. Companies in a wide range of industries such as Information Technology, Retail, Telecommunication, Oil and Gas, Finance, Health care are already using data mining tools and techniques to take advantage of historical data and to create their future business strategies. Data mining can be broadly categorized into two branches i.e. supervised learning and unsupervised learning. Unsupervised learning deals with identifying significant facts, relationships, hidden patterns, trends and anomalies. Clustering, Principle Component Analysis, Association Rules, etc., are considered unsupervised learning. Supervised learning deals with prediction and classification of the data with machine learning algorithms. Weka is most popular tool for supervised learning. Topics You Will Learn… Unsupervised learning: Introduction to datamining Dimension reduction techniques Principal Component Analysis (PCA) Singular Value Decomposition (SVD) Association rules / Market Basket Analysis / Affinity Filtering Recommender Systems / Recommendation Engine / Collaborative Filtering Network Analytics – Degree centrality, Closeness Centrality, Betweenness Centrality, etc. Cluster Analysis Hierarchical clustering K-means clustering Supervised learning: Overview of machine learning / supervised learning Data exploration methods Basic classification algorithms Decision trees classifier Random Forest K-Nearest Neighbours Bayesian classifiers: Naïve Bayes and other discriminant classifiers Perceptron and Logistic regression Neural networks Advanced classification algorithms Bayesian Networks Support Vector machines Model validation and interpretation Multi class classification problem Bagging (Random Forest) and Boosting (Gradient Boosted Decision Trees) Regression analysis Tools You Will Learn… R: R is a programming language to carry out complex statistical computations and data visualization. R is also open source software and backed by large community all over the world who are contributing to enhancing the capability. R has many advantages over other tools available in the market and it has been rated No.1 among the data scientist community. Mode of Trainings : E-Learning Online Training ClassRoom Training --------------------------------------------------------------------------- For More Info Contact :: Toll Free (IND) : 1800 212 2120 | +91 80080 09704 Malaysia: 60 11 3799 1378 USA: 001-608-218-3798 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com
Using R and Apache Hadoop for Data Mining and Statistical Predictive Analytics
 
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This on-demand webinar, we'll: - Walk you through how Hadoop is being used today - Discuss real-world customer use cases for data mining and statistical predictive analytics in Hadoop - Show a live churn analytics demonstration with Revolution Analytics and Hortonworks Data Platform
Views: 10006 Hortonworks
Proximity Measures Of Nominal Attributes Explained In Hindi
 
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How To Calculate Dissimilarity Matrix For Nominal Attributes is Discussed In This video. 📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Cross Validation
 
06:07
Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud262/l-312357973/m-438108645 Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud262 Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Views: 81335 Udacity
Kenneth Cukier: Big data is better data
 
15:56
Self-driving cars were just the start. What's the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what's next for machine learning — and human knowledge. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 301118 TED
O'Reilly Webcast: How We Build Data Mining Teams at Yelp
 
57:29
Starting and growing a data science team doesn't have to be a risky proposition. By balancing long term strategy and technology goals with immediate business demands, your data science team can quickly become productive and enjoy sustained growth. To accomplish this you need to: Find the right people Set business context Slowly expand scope Have a roadmap Share your secrets This webcast presented by Jim Blomo will include examples and tips, and you will hear stories from successfully growing data teams at Yelp using this advice. About Jim Blomo Jim Blomo (@jimblomo) is passionate about putting data to work by developing robust, elegant systems. At Yelp, he manages a growing data mining team that uses Hadoop, mrjob, and oddjob to process TBs of data. Before Yelp, he built infrastructure for startups and Amazon. Jim also lectures at UC Berkeley's School of information on Data Mining and Web Architecture and has presented at conferences such as AWS re:Invent and Wolfram Alpha Data Summit. Produced by: Yasmina Greco
Views: 1505 O'Reilly
Olap operations
 
07:07
Olap operations
Views: 17904 IMSUC FLIP
Data Mining with Scala at Identified
 
52:00
Scala is an excellent tool for big data cleaning, gleaning, and modeling. Jan Prach visited SF Scala and discussed how his company, Identified, uses Scala to gain insights into people ranking and search. He overviews the overall data flow, focuses on several points of interest, and explains how Scala makes it all happen. Jan Prach is a Scala Developer, at Identified, using Machine Learning and Data Mining. **Check out more Scala resources: http://marakana.com/s/tags/scala
Views: 3529 InfoQ
Hadoop Vs Traditional Database Systems | Hadoop Data Warehouse | Hadoop and ETL | Hadoop Data Mining
 
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http://www.edureka.co/hadoop Email Us: [email protected],phone : +91-8880862004 This short video explains the problems with existing database systems and Data Warehouse solutions, and how Hadoop based solutions solves these problems. Let's Get Going on our Hadoop Journey and Join our 'Big Data and Hadoop' course. - - - - - - - - - - - - - - How it Works? 1. This is a 10-Module Instructor led Online Course. 2. We have a 3-hour Live and Interactive Sessions every Sunday. 3. We have 4 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace. We can also provide you Remote Access to Our Hadoop Cluster for doing Practicals. 4. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 5. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, MapReduce, Advance MapReduce, PIG, HIVE, HBase, Zookeeper, SQOOP, Hadoop 2.0 , YARN etc. will be covered in the course. - - - - - - - - - - - - - - Course Objectives After the completion of the Hadoop Course at Edureka, you should be able to: Master the concepts of Hadoop Distributed File System. Understand Cluster Setup and Installation. Understand MapReduce and Functional programming. Understand How Pig is tightly coupled with Map-Reduce. Learn how to use Hive, How you can load data into HIVE and query data from Hive. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing. Have a good understanding of ZooKeeper service and Sqoop, Hadoop 2.0, YARN, etc. Develop a working Hadoop Architecture. - - - - - - - - - - - - - - Who should go for this course? This course is designed for developers with some programming experience (preferably Java) who are looking forward to acquire a solid foundation of Hadoop Architecture. Existing knowledge of Hadoop is not required for this course. - - - - - - - - - - - - - - Why Learn Hadoop? BiG Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, It is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Some of the top companies using Hadoop: The importance of Hadoop is evident from the fact that there are many global MNCs that are using Hadoop and consider it as an integral part of their functioning, such as companies like Yahoo and Facebook! On February 19, 2008, Yahoo! Inc. established the world's largest Hadoop production application. The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates data that is now widely used in every Yahoo! Web search query. Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Happy Hadooping! Please write back to us at [email protected] or call us at +91-8880862004 for more information. http://www.edureka.co/big-data-and-hadoop
Views: 13959 edureka!
Database Lesson #8 of 8 - Big Data, Data Warehouses, and Business Intelligence Systems
 
01:03:13
Dr. Soper gives a lecture on big data, data warehouses, and business intelligence systems. Topics covered include big data, the NoSQL movement, structured storage, the MapReduce process, the Apache Cassandra data model, data warehouse concepts, multidimensional databases, business intelligence (BI) concepts, and data mining,
Views: 76057 Dr. Daniel Soper

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