Linked Questions

0
votes
1answer
36 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 ...
2
votes
1answer
166 views

How is it possible? Training and validation loss curves were decreasing while training data size was increasing

I'm really puzzled... I’ve learned and observed that training loss / error increases with training data size as stated in Dr Andrew Ng’s ML course. I’ve recently experienced an anomaly. Training loss ...
6
votes
2answers
272 views

Taxonomy/overview of machine learning techniques [duplicate]

My question: I'm looking for a taxonomy/bestiary/overview of machine learning techniques. I would like to learn 1) how these methods relate to each other, and 2) the relative costs and benefits (and ...
0
votes
0answers
173 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 ...
7
votes
4answers
313 views

Machine learning courses: maths explained

I'm looking for a Machine Learning course that would give the maths behind algorithms rather than simply teach how to apply them. I've looked at Udacity Into to Machine Learning and Andrew Ng's course ...
0
votes
1answer
172 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?
2
votes
2answers
643 views

Subjects in machine learning [duplicate]

I'm in the second year of my mechanical engineering bachelor and I've recently started exploring the field of machine learning online. My question is this: which specific subjects do people learn, and ...
2
votes
3answers
1k views

Seeking a Recommendation on Machine Learning Books for Biological Research

I am an undergraduate student studying mathematics and microbiology. I recently got a research project to study the evolution of viruses from the computational perspective, particularly from machine ...
4
votes
5answers
1k views

Machine Learning Book (Python)

I'm in search of a good book about Machine Learning. Requirements: Good theoretical depth (while being a ML beginner, I hold a degree in mathematics), but accompained with good examples and plenty ...
5
votes
2answers
2k views

Machine Learning for Image Processing book recommendation

I'm searching a good (and compact) book about multivariate pattern analysis in images with machine learning techniques. I took a machine learning course and used for it the Bishop book but I found it ...
1
vote
0answers
91 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 ...
7
votes
2answers
3k views

Selecting an appropriate machine learning algorithm?

I do not think that this is a difficult question, but I guess someone needs experience to answer it. It is a question that is asked a lot here, but I did not found any answer that explains the reasons ...
1
vote
1answer
153 views

Reference on how to choose models

I wonder if there is any good and easy to understand book on reviewing on when should a particular statistical model (binomial, logistic regression, etc) be used? My background is in statistics, but ...
0
votes
1answer
87 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 ...
-4
votes
2answers
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.

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