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  1. Deep Learning in General:
  2. - Introduction to Deep Learning: From Logical Calculus to Artifical Intelligence by Sandro Skansi
  3. - Deep Learning Essentials/Deep Learning wtih Keras cover most of the same things (Packt book)
  4. - Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  5.  
  6. Statistics:
  7. - Practical Statistics for Data Scientists by Peter Bruce & Andrew Bruce (O'Reilly)
  8.  
  9. Machine Learning in General:
  10. - Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
  11.  
  12. NLP Specifically:
  13. - Nerual Network Methods For Natural Language Processing by Yoav Goldberg
  14. - Supervised Sequence Labelling with Recurrent Neural Networks by Alex Graves
  15.  
  16. High-Level/Introduction to Neural Networks:
  17. - Neural Networks Math: A Visual Introduction for Beginners by Michael Taylor
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