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Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn

Authors: Yuxi (Hayden) Liu (2020)

This book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.

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Practical Statistics for Data Scientists : 50+ Essential Concepts Using R and Python

Authors: Peter Bruce (2020)

The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

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Graphic design rules : 365 essential design dos and dont's

Authors: Sean Adams (2020)

365 Design do's and don'ts, each presented with pithy accompanying text. A reference book and a primer, described in the foreword as both 'a guide to avoiding rookie mistakes' and 'a list of 'Oh yeah? We'll see about that!' challenges.

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