Python Machine Learning
A Reference, Computers, Science book. This is a great book.It gives the mathematical definitions of popular machine learning...
Link to the GitHub Repository containing the code examples and additional material: https://github.com/rasbt/python-machi...Many of the most innovative breakthroughs and exciting new technologies can be attributed to applications of machine learning. We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have...
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- Filetype: PDF
- Pages: 454 pages
- ISBN: 9781783555130 / 0
r1P2cOd3LZ.pdf
More About Python Machine Learning
Great introduction on machine learning in Python. Good to have access to code: https://github.com/rasbt/python-machi... The book aims to cover a lot of topics on Machine Learning. The chapters on training Machine Learning algorithms and clustering analysis were very useful. However, embedding machine learning into web applications and training with Theano were a bit out of the scope. This is a great book.It gives the mathematical definitions of popular machine learning algorithms and shows you how to implement them. Then it explains how to use them with scikit-learn which has much more efficient implementations. What is great is that this book has chapters on data cleaning, what to do with missing data, etc. Compliments...
