Resources-For-ML
Here is a curated List of Resources for Machine Learning
A. Machine Learning
1) My personal favourite, I started my datascience journey with this and I recommend it as a starting point,not too heavy on the math though Data-mining Concept and Techniques
2) Complement the above with this to ease into the math A comprehensive overview of ML, with a lot of technicalities explained: Machine Learning by Tom Mitchell
B. Getting into the mathematics:
Probability
- 1A) I believe this is a far better book for a beginner in probability than the one that follows Pattern Recognition and Machine Learning, Christopher Bishop
- 1B) Read on the mathematical foundations bit,just basics, the math is still too difficult to comprehend for a beginner by my guesstimate Pattern Classification - Duda, Hart
You may start either with 1A / 1B, I strongly recommend 1A + 2A/2B to get a hold on probability
- 2A) Follow quickly with Bayesian Reasoning And Machine Learning
- 2B) Probability bits from All of Statistics: A Concise course in statistical inference by Larry Wasserman
- 3A) Supplement with the following to dvelve into scary math territory Ian Goodfellow book on Deep learning
Statistics
- 1) Start with this and no other All of Statistics: A Concise course in statistical inference by Larry Wasserman
- 2) Easy Stats and implemented in python Think stats
- 3) Statistics with R by Andy Field Especially to Learn R
- 4) Just to Complement above readings you may try outIntro to bayesian statistics by William Bolstad
- 5) Finish with this. It is has by far the most challenging and detailed explanationsThe Elements of Statistical Learning: Data Mining, Inference and Prediction
Information theory
Information Theory, Inference and Learning Algorithms by David J.C. MacKay
Linear Algebra
- 1) One by 3Blue1Brown Linear Algebra
- 2) Linear algebra bits from this book Ian Goodfellow book on Deep learning
- 3) Try out for solving sums Introduction to Linear Algebra By Gilbert Strang
More to come….
C. Visual Resources
Nothing better than the 3Blue1Brown