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MLlearningresources.rst

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@@ -92,11 +92,18 @@ Most learning resources include hands-on tutorials. So be ready to use a noteboo
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- Seeing Theory, A visual introduction to probability and statistics. Interactive learning book that visualizes the fundamental statistical concepts, https://seeing-theory.brown.edu/
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- Spinning Up in Deep RL, become a skilled practitioner in deep reinforcement learning, https://spinningup.openai.com/en/latest/index.html
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- The Elements of AI, learn the basics of AI, https://www.elementsofai.com/
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- TensorFlow, Keras and deep learning, without a PhD, https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist/#0
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