Potential AI Textbooks

JohnsonAI wrote:"Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent System",
Author: Geron, Publisher: O'Reilly

https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291/ref=sr_1_7?keywords=python+artificial+intelligence&qid=1551717176&s=gateway&sr=8-7

• Amazon's #1 choice in Computer Visions & Pattern Recognition, Neural Networks, and Natural Language Processing. Right off the bat this seems like the book for the class
  
• Published in 2017, so fairly updated
  
• Has the most reviews and averages 72% 5 stars along with numerous in-depth analysis praising the book
  
• Reviewers say the focus is on Tensorflow and Machine Learning which is what we need
  
• People love the examples and exercises that are provided
  
• Negative reviews are complains about the paper and font quality and the lack of successful examples which I believe are due to bug errors and lack of effort to fix them
  

JohnsonAI wrote:"Hands On Machine Learning with Python: Concepts and Applications for Beginners"
Author: Anderson, Publisher: AI Sciences

https://www.amazon.com/Hands-Machine-Learning-Python-Applications-ebook/dp/B07G4M16JF/ref=sr_1_6?keywords=python+artificial+intelligence&qid=1551717176&s=gateway&sr=8-6

• Amazon's #1 choice in Holography (Computer Technology), Holography (Computer Modelling), and Optics. Based off this, not looking the the most suited candidate
  
• Published 2018, so is the most recent of the three
  
• Only has 12 reviews but averages a 75% 5 star rating; however has only brief reviews of the book
  
• However, those that like the book praise its ease for the beginning, love the physical book size and quality, examples and exercises are provided and thoroughly enjoyed
  
• Reviewers say that the book has a focus on Machine Learning and Python, which is contrary to what Amazon praises the book for, but may have more potential that initially thought
  

JohnsonAI wrote:"Deep Learning with Python"
Author: Chollet (the guy who made Keras)

https://www.amazon.com/Deep-Learning-Python-Francois-Chollet/dp/1617294438/ref=sr_1_3?keywords=python+artificial+intelligence&qid=1551717176&s=gateway&sr=8-3

• Amazon's #1 choise in Graphics & Design, Graphics and Visualization, and Speech & Audio Processing. Seems like a good balance between the first book which has a priority on Tensorflow and Machine Learning with the second book that seems to have interest elsewhere. We have a good balance on not just focusing on AI but also some other things (graphics and visualization)
  
• Published in 2017, so fairly updated
  
• With 93 reviews it averages an 81% 5 star rating with fairly decent reviews praising the book
  
• Some complain that the book is too "paint by the numbers"
  
• There's a lack of exercises, only examples to blindly follow and run
  
• The stress is on "more about practical techniques and python code (in Keras) than about deep learning math/theory"
  
• The same reviewer who mentioned the above also said that it would be a lovely complement to the first book that is in question, presumably to have both the examples and focus on AI from the first to get a grasp on your knowledge then use this to supplement that knowledge and take it to the next level