is the first complete, interactive introduction to the foundational algorithms and techniques for machine learning using Python. Balances computational skills with conceptual and practical machine learning appl
Building Machine Learning Systems with Python (2013): Master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide. Learning scikit-learn: Machine Learning in Python (2013): Experience the benefits of machine learning techniques by app...
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2) Building Machine Learning Systems with Python - Willi Richert, Luis Pedro Coelho This book goes into significant detail on how to use scikit-learn for regression and classification tasks. In addition to extensive coverage on scikit-learn it actually considers other libraries such as gensim (for...
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Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual Programming Computer Vision with Python Jan Erik Solem Advanced [PDF DRAFT] This book gives an entry point to hands-on computer vision (images, videos...) with enough understanding of the unde...
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This comprehensive guide is tailored for both beginners and intermediate programmers,offering a bootcamp-style approachthat simplifies learning withpractical examples, hands-on exercises, real-world applications and automation techniques。 Whether you're just starting out or advanced your career, this ...
A more concise but exhaustive reading focused on demystifying concepts and definitions in the field. The pdf version can be accessed at Stanford’s vision department here. 4. Programming Computer Vision with Python (J.E. Solem) This book under the Creative Commons License shifts the focus to ...