Linked Questions

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 ...
2
votes
2answers
624 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 ...
0
votes
2answers
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? ...
-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.
2
votes
1answer
153 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 ...
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
27 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 ...
0
votes
1answer
168 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?
0
votes
1answer
86 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 ...
0
votes
1answer
145 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, ...
10
votes
0answers
1k views

Machine learning self-learning book? [duplicate]

Possible Duplicate: Machine learning cookbook / reference card / cheatsheet? I wonder if there is a good self-learning textbook for machine learning? I am particularly looking for those in ...
2
votes
0answers
78 views

General rules for choosing machine-learning algorithm? [duplicate]

Possible Duplicate: Machine learning cookbook / reference card / cheatsheet? There are numerous machine-learning approaches out there. Also there are numerous ways how to optimize their ...
1
vote
0answers
79 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 ...
1
vote
0answers
62 views

Overview of (common) classifiers and their characteristics [duplicate]

Possible Duplicate: Machine learning cookbook / reference card / cheatsheet? Each classifier has it's own advantages and disadvantages. E.g. train/test speed, classification/regression (and how ...
0
votes
0answers
146 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 ...

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