This post is a pointer to a great free resource, one of the treasures of the net that are there for those who want to learn. I find it useful and I sift through it from time to time while I am taking the Machine Learning MOOC from professor Andrew Ng. I have not seen …
Rob J. Hyndman is Professor of Statistics in the Department of Econometrics and Business Statistics at Monash University. He, together with George Athanasopoulos, has published the freely available book “Forecasting: Principles and Practice”, that can be found here or bought in its paper version at Amazon (amazon.com, amazon.com.uk, amazon.fr) or in its electronic version at …
A few days ago I was discussing on the Coursera forums what course to take next. Since I am interested in the Data Science path from Johns Hopkins, and a few of these courses have heavy roots into statistics, somebody suggested to me to have a look at Openintro Statistics. OpenIntro Statistics edition 3 is …
This book by Roger D. Peng is a suggested reading for the Coursera’s Johns Hopkins University Data Science Specialization. You can get it in electronic format from the Leanpub web site, for anywhere between free and 30 $. You decide how much you want to pay for it. The book is well written and flows …
This book by Joel Grus will give you an insight into the main topics of the Data Scientist daily work, in 25 chapters and around 300 pages. The book syllabus is available here, and you can explore it. If you buy from O’Reilly you can use the discount code on his web page (too bad …