'Like' us to receive information about our next events! For everyone interested in AI & Blockchain! Join us! It is free! If you want to give a talk or a tutorial, contact us! To benefit the most of the meetup, you are invited to become familiar, slowly and progressively, with the material below. PS: If this material seems tough to you, don't get discouraged too quickly: if you are patient and persistent, you will almost certainly get nice results at the end. In any case, the meetup is here to help you, at all stages of your learning process. Python 2.7: [Codeacademy](https://www.codecademy.com/learn/python). Especially lists and dictionaries. Linear Algebra: [Khan Academy](https://www.khanacademy.org/math/linear-algebra). Also, [tensors](https://www.quora.com/How-do-I-intuitively-explain-tensors/answer/Jeff-Wright-10?srid=RvB7). Numpy: [100 numpy exercises]( http://www.labri.fr/perso/nrougier/teaching/numpy.100/index.html ). [Hide solutions here](https://www.reddit.com/r/Python/comments/1wwwss/100_numpy_exercises/). Especially matrices and tensors. Machine learning: [Coursera](https://www.coursera.org/learn/machine-learning) Convolutional neural networks: [Stanford CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/) Natural language processing: [Stanford CS224d: Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/) A library like tensorflow, theano/lasagne, torch, or caffe: [some tutorials here](https://github.com/mostafachatillon/convnet_tutorial) Other interesting courses are available, like [here](https://www.udacity.com/course/deep-learning--ud730). Also, this [blog](http://andrew.gibiansky.com/blog/machine-learning/fully-connected-neural-networks/) and this [book](http://neuralnetworksanddeeplearning.com/ ) are beginner-friendly. Watch also the news of the [deep learning community](https://plus.google.com/communities/112866381580457264725) УAШI, Українська Aсоціація Штучного Iнтелекту, the Ukrainian Artificial Intelligence Association, is organizing the Kyiv deep learning meetup.