In US and other countries, a lot of R lectures and meetings were held.
Dr. Hoffman announced a new R statistical learning course.
I couldn't take this course dwe to living in Japan.
I hope that she would upload her text or I could take the webinar.
Description
Machine Learning automatically recognizes complex, previously unknown, novel, and useful patterns and information in all types of data. Data driven algorithms are the wave of the future and their results improve as the amount of data increases. Machine Learning algorithms are used in search engines, image analysis, multimedia database retrieval, bioinformatics, industrial automation, speech recognition, and many other fields. This is a survey course covering the concepts and principles of a large variety of data mining methods. The course will equip you with a working knowledge of these techniques and prepare you to apply them to real problems.The course covers both supervised and unsupervised learning concepts. The supervised techniques include various types of linear regression, decision trees, k- nearest neighbors, Naive Bayes, Support Vector Machines and ensemble methods. The course also addresses unsupervised techniques such as k-means, expectation maximization, and density based clustering.
The course requires a moderate level of computer programming proficiency, along with an elementary level background in probability, statistics, linear algebra, and calculus. This is a hands-on course using the statistical language R for class examples and homework assignments. No prior knowledge of R is assumed, and some of the basics of open source R language will be covered.
http://course.ucsc-extension.edu/modules/shop/index.html?action=section&OfferingID=1531173&SectionID=5264079
Dr. Hoffman's HP is HERE
