Good Basic Books or courses for a Novice in Machine learining
Please suggest some basic books or courses for some one who has only basic high school Math skills and is interested to learn more on Machine learning
LFD Book and online course on "Learning From Data" and ML courses on coursera are for some one who already have good knowledge in probability and Calculus courses 
Re: Good Basic Books or courses for a Novice in Machine learining
It is helpful to have a basic understanding of probability theory, linear algebra and matrices and calculus. A text for pretty much any undergraduate course in these areas would suffice, for example:
Probability and Statistics by Degroot and Schervisch Linear Algebra by Lang Calculus of Several Variables by Lang These books above would all assume a basic highschool training in single variable calculus as would be found in a book like: A First Course in Calculus by Lang Quote:

Re: Good Basic Books or courses for a Novice in Machine learining
You could look into some of the MIT OpenCourseware.
They're nothing short of fantastic  most courses have the names of the associated course readers on the course page. So you could buy the course reader and follow the suggested reading and the homework. http://ocw.mit.edu/courses/audiovideocourses/ 
All times are GMT 7. The time now is 02:31 AM. 
Powered by vBulletin® Version 3.8.3
Copyright ©2000  2020, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. AbuMostafa, Malik MagdonIsmail, and HsuanTien Lin, and participants in the Learning From Data MOOC by Yaser S. AbuMostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.