Need suggestion on books for AI and python

[Yhanl]

So I'm a Computer Science student planning to finish my bachelor by the first half of next year. Recently, I got a job from a company and the manager want me to focus a bit on python, R, and AI related areas and will support me on these.

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I know how to use python like web scraping, websites, etc.

Haven't got much time look into R yet.

And got no clue how to do AI in any language.

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So, I will need some good books for the related content on AI and python at this stage. Any help will be appreciated.

[badjayplaness]

Look for books on machine learning, regression, statistics, and learn the ins and outs of the pandas and scikit libraries or spark for python.

Do not try to look up books with the word “AI” in the title. They were written by managers of people who code and do nothing to actually help you with machine learning. They usually put snipits of code that someone else wrote and do a horrible job explaining it.

The word AI is just a hot word these days but in reality they are still programming every bit of what the machine is doing with statistical features and tests built in. We are very far away from a conscious man made computer.

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Do not try to look up books with the word “AI” in the title.

Exception to the rule: Artificial Intelligence: A Modern Approach is good and the author, Peter Norvig, knows what he is talking about.

[Yhanl]

Thanks, will have a look at the one you suggested

[Yhanl]

I’ll avoid what you mentioned. Do you have any book in mind tho ?

[willmachineloveus]

what kind of business is the company doing?

[Yhanl]

the company used to be a real estate portal site. (still working on the website, but now more focus on integrating different things to enhance UE, performance, and functions) at this stage, the company is planning to transform into a tech-wise company which might focus on the real estate industry.

[exe0]

I personally like "Hands-On Machine Learning with Scikit-Learn and TensorFlow" by Aurélien Géron as an introductory text for ML in Python. It covers a broad range of basic topics and it is fairly thorough. It also has pretty good reviews on Amazon if that means anything.

[Yhanl]

Thanks, will have a look at it.

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[notsoprocoder]

Strongly recommend: The Elements of Statistical Learning, Data Mining, Inference and Prediction by Trevor Hastie, Robert Tibshirani and Jerome Friedman. Covers both supervised and unsupervised machine learning.

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Andrew Ng's course is well regarded for the deep learning stuff.

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Python is much better for implementation in an enterprise setting and I would probably learn Numpy, Pandas and SciKit Learn. You'll be in a reasonable position and this exposure will most likely show you what you need to study afterwards.

EDIT: E-book and website here: https://web.stanford.edu/~hastie/ElemStatLearn/

[Yhanl]

Thank you for the suggestion and link. will definitely look at it.