HN Books @HNBooksMonth

Introduction to Probability Theory https://www.amazon.com/Introduction-Probability-2nd-Dimitri-...

Linear Algebra https://www.amazon.com/Introduction-Linear-Algebra-Gilbert-S...

Convex Optimization https://www.amazon.com/Convex-Optimization-Corrections-2008-...

Linear Programming https://www.amazon.com/Introduction-Linear-Optimization-Scie...

Digital Signal Processing https://www.amazon.com/Understanding-Digital-Signal-Processi...

https://www.amazon.com/Discrete-Signal-Processing-Oppenheim-...

⬐ mrtnmcc

Those were some examples in mind, but the broader point was it's worth spending substantial time finding material that works for you.

⬐ itronitron

Very true, and I've also found that revisiting/discovering old techniques or initial approaches often yields new insights.

Introduction to Information Retrieval: http://www.amazon.com/dp/0521865719/

Convex Optimization: http://www.amazon.com/dp/0521833787/

Foundations of Statistical Natural Language Processing: http://www.amazon.com/dp/0262133601/

Read Peter Norvig's review for Foundations of ....http://www.amazon.com/review/R3GSYXSKRU8V17/

I haven't read any of these books, yet, highly recommended by some friends.

⬐ jules

Here are video lectures by the author of the convex optimization book (Stephen Boyd):

http://see.stanford.edu/see/courseinfo.aspx?coll=2db7ced4-39...

http://see.stanford.edu/see/courseinfo.aspx?coll=523bbab2-dc...

And video lectures by the author of the NLP book (Christopher D. Manning):

http://see.stanford.edu/see/courseinfo.aspx?coll=63480b48-88...