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Machine Learning for Hackers
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Pages: 324
Authors: Drew Conway
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Type: BOOK - Published: 2012-02-13 - Publisher: "O'Reilly Media, Inc."

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If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables
Machine Learning for Hackers
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This title emphasizes the tools of machine learning and statistics in a practical, problem-based manner that teaches programmers how to crunch data.
Bayesian Methods for Hackers
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Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural a
Machine Learning for Red Team Hackers
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Everyone knows that AI and machine learning are the future of penetration testing. Large cybersecurity enterprises talk about hackers automating and smartening
Deep Learning for Coders with fastai and PyTorch
Language: en
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Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with