Roadmap to Machine learning???

Question

how can I make a simple nueral network and what modules I have to use for making a simple AI.

Answer 1

For a simple neural network just do the tutorial on the tensorflow website. For further study you need to know Python and/or R. Then you Need a solid grasp of statistical methods, linear algebra and optimization After that you should read a textbook in machine learning. Deep learning/neutral networks caused a lot of the Hype in the Last few years so you should probably Look into those. Tensorflow,scipy,numpy,pandas,mathplotlib,scikit-learn and thanos are python Librarys that are used a lot. Maybe you could get away with just learning how to use the librarys and without learning the theory but i don‘t recommend it.
Check out this Book for Deep learning: https://www.deeplearningbook.org/front_matter.pdf it covers some of the needed mathematics
This Book also Looks Good: https://www.cs.cornell.edu/jeh/book.pdf
This one also Seems pretty good: http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html
You can learn linear Algebra here: https://www.math.brown.edu/~treil/papers/LADW/LADW.html
You can learn probability theory here: https://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf
Sadly I do not know any free optimization textbooks.
You should probably also read up on numerical method/numerical analysis.

if you only care about neural networks and deep learning, this is also a very beginner friendly book that has a nice balance of theory and applied stuff and that you could use as a beginner without having to learn all the mathematical machinery:
http://neuralnetworksanddeeplearning.com/index.html

Answer 2

thanks alot max that was the answer I have been looking for last couple weeks.

Answer 3

Artificial intelligence programs are categorized

from basic to advanced program learning methods.

depends on for what purpose is been used.

either only software dependent
or
completely machine dependent