Learning From Data Caltech - Apple Inc.
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This is an introductory course on machine learning that can be taken at your own pace.It covers the basic theory, algorithms and applications. Machine learning (Scientific American introduction) 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.
HW8 Q2-6 Converting digit data to libsvm format. GB449. 11-30-2018 12:34 AM by Degutis.
Actually took this course at Caltech this year. Borrowed the book from a friend for a few hours to help understand some topic that was needed for a problem set. Overall, I didn't really need to purchase the book, and the consensus among people who bought the book was that they didn't really need it either.
A free, recorded introductory Machine Learning course taught by Caltech Professor Yaser Abu-Mostafa, covering the basic theory, algorithms, and applications, with 8 homework sets and a final exam.Some previous knowledge required. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications.
The lectures can be found on YouTube, iTunes U and this Caltech website, which hosts slides and other course materials.The professor wrote the course textbook, also called Learning from Data. Learning From Data will be permanently added to our list of Free Online Computer Science Courses, part of our ever-growing collection, 1,500 Free Online Courses from Top Universities.
CS1156x: Learning from Data is a 10-week introductory machine learning course offered by Caltech on the edX platform focused on giving students a solid foundation in machine learning theory. Major course topics include the feasibility of learning, linear models, generalization, VC dimension, overfitting, regularization and validation.