WEKA:Data Mining Whats It All About. Most Viewed Machine Learning Talks at Videolectures. Discover lectures from a variety of summer schools and conference tutorials on machine learning in this list of the top lectures on the subject from videolectures.net. By Grant Marshall, Sept 2014 Today, we look at the top 25 most viewed data mining lectures on videolectures.net The way popularity is determined is by looking at the “popular” sort on the machine learning video listing. These are the videos, including authors, length, and venue, sorted by views: One thing you’ll immediately notice about this list is the number of these lectures that come from the Machine Learning Summer Schools. Overall, more than half (thirteen out of the twenty-five) of the most popular machine learning lectures on videolectures.net come from here, taking the top four spots.
Now we will look at the titles of the videos to determine what makes a popular machine learning video. Now, we look at how the length of the lectures affect the views on the videos. Related: CPSC 340 - Machine Learning and Data Mining. Introduction to Machine Learning. Statistics 202: Statistical Aspects of Data Mining. Machine Learning. Slides01.pdf. Learning From Data - Online Course (MOOC) A real Caltech course, not a watered-down version Free, introductory Machine Learning online course (MOOC) Taught by Caltech Professor Yaser Abu-Mostafa [article]Lectures recorded from a live broadcast, including Q&APrerequisites: Basic probability, matrices, and calculus8 homework sets and a final examDiscussion forum for participantsTopic-by-topic video library for easy review Outline This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications.
ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from 15 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects. What is learning? Ian H. Witten. Chapter1.pdf. 001~chapter_2.pdf. Lect1.pdf. Lecture Notes - Prof. Ruiz. Data Mining. Extracción de Conocimiento en Grandes Bases de Datos. Data Mining Lecture 1: Introduction to Data Mining.
MOOC Data mining with weka sept. 2013. [7] Data Mining - Practical Machine Learning Tools and Techniques (3rd Ed) Data mining Ian Witten.