Chapter 4: Anatomy of a Learning Algorithm. Chapter 5: Basic Practice plus in-depth material. Chapter 6: Neural Networks and Deep Learning plus in-depth material. Chapter 7: Problems and Solutions. Chapter 8: Advanced Practice. Chapter 9: Unsupervised Learning plus in-depth material.
Chapter Other Forms of Learning. Chapter Conclusion. Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4. It should certainly be required reading for anyone starting a PhD program in this area and will serve as a useful reference as they progress further.
Finally, the book illustrates some of the algorithms using Python code, one of the most popular coding languages for machine learning. Computers, Internet Programming, Python. Education, Learning Programming, Python. Information Users of Guests are not allowed to comment this publication. Learn how your comment data is processed. Programmer Books. Machine Learning In Python. C and XML Primer. Real-World Machine Learning.
Python Unit Test Automation. Machine Learning Refined. Learning Concurrent Programming in Scala, 2nd Edition. Essentials of Computer Architecture, 2nd Edition. Please enter your comment!
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