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If u want to learn #AI or #ML completely online without any BS. Follow this route(thread): #elearning

1. Artificial Intelligence:A modern approach by Stuart Russel and Peter Norvig

This book will give a non technical intro into #AI.Read relevant chapters
amazon.com/Artificial-Int…
2. Alternatively u can take "#AI for everyone" course on coursera by @AndrewYNg

This is also non technical.
coursera.org/learn/ai-for-e…

3. Then move on to "The hundred page machine learning book" by @burkov

amazon.com/Hundred-Page-M…
4. "Machine Learning" course on @coursera by @AndrewYNg will give a proper foundation

coursera.org/learn/machine-…

5. "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow"
by @aureliengeron
amazon.com/Hands-Machine-…

#AI #MachineLearning
6. Now u can move on Deep learning if u r interested.
"Deep Learning with Python" by @fchollet is a gr8 book

amazon.com/Deep-Learning-…

7. 5 course specialization on deep learning by @AndrewYNg is a must if u want to excel.

Complete the courses in order

coursera.org/specialization…
8. "4 course Tensorflow specialization" by @lmoroney & @AndrewYNg is another option with exciting courses like "Natural Language Processing" etc.

coursera.org/specialization…

#AI #MachineLearning
This is my suggestion (I'm also learning), not a definite path. There are similar courses on many other platforms like @udacity.

Many of the books and courses listed here may have common topics, so learn accordingly.

Use books as support material, focus on courses & practice.
Certification is kinda important, thts one more reason to prefer courses over books.

Advanced courses like "Self driving Cars" etc are also available as a further step.

All this is assuming u have decent grip over High school algebra, probability, basic python etc.
Learning python the programming language is not the same as learning python for ML. Don't make the mistake of learning from standard python texts. This article sums it up:
kdnuggets.com/2019/06/python…

Don't waste ur time getting hyped over random BS articles. Do it the right way.
Add relevant info/suggestions.
As pointed out by a few, AI: A modern approach is a technical book. I only had a few chapters(1, 2 & 18) in mind, when I mentioned non technical intro. It's a brilliant book, no doubts abt tht. But it might not be suitable for all. Go for options 2, 3. Can be finished in a day.
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