Linked Questions

1 vote
0 answers
374 views

Alternative to The Elements of Statistical Learning: Data Mining, Inference, and Prediction [duplicate]

I am taking a class in statistics which uses The Elements of Statistical Learning: Data Mining, Inference, and Prediction as a textbook. However, I find this book very terse. Could anyone please ...
Anna's user avatar
  • 93
1 vote
0 answers
257 views

Machine Learning books for CS (non-statistician) grad student [duplicate]

What books on machine learning are recommended for a CS graduate student without a huge background in statistics? I do have some background in ML (and of course linear algebra, probability, etc.) but ...
grad_student's user avatar
0 votes
2 answers
2k views

Learning Algorithms/Neural networks books? [duplicate]

Possible Duplicate: Machine learning cookbook / reference card / cheatsheet? Machine learning self-learning book? What are some good theoretical and practical machine learning algorithms books? ...
user11235's user avatar
0 votes
1 answer
236 views

Learning ML/NLP from electronics & communication engineering background

I study Electronics & Communication Engineering. I like Computer Sciences. Out of pure passion, I even studied few programming languages like Java, Python etc I studied probability, math, ...
Anand Singaraju's user avatar
0 votes
1 answer
93 views

Appropriate problems for different type of ML classifiers [duplicate]

I have learned several classifiers in Machine learning - Decision tree, Neural network, SVM, Bayesian classifier, K-NN, Markov process...etc. Can anyone please help to understand when I should prefer ...
Ronin's user avatar
  • 109
0 votes
0 answers
26 views

First classification project [duplicate]

I am a math student who has previously done a handful of regression analyses. But now I'm sitting with a classification problem and it's my first time. I wanted to know the best practices when working ...
restingquartH's user avatar
0 votes
0 answers
53 views

Best Resource to learn about internal working of ML algorithms for an absolute beginner? [duplicate]

My previous question was about looking for pseudocodes for Boosting algorithms like XGB, Random Forests and LGBM. I figured it would be better if i had some resources to refer to, which would detail ...
Muhammad Yasir's user avatar
0 votes
1 answer
92 views

Statistics book for Machine Learning [duplicate]

Hello I am a mathematician currently studying Data Science and I would like to ask for a book that can give me a variety of statistical tools for having more solid conclusions in my analysis of a ...
José Alberto's user avatar
0 votes
1 answer
294 views

Book for Machine Learning [duplicate]

Is there a book analogous to Introduction to Algorithms (CLRS) for Machine Learning, that covers all the models and explanations comprehensively?
Tejas Ramdas's user avatar
-3 votes
2 answers
2k views

Best book to learn probability - Poisson, binomial, regression, etc [duplicate]

What is the best book to learn probability - Poisson, binomial, regression, etc. I am working as an odds adjuster at a bookmaker and need to advance my skills to an odds compiler level.

15 30 50 per page
1
2