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Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition Paperback – January 31, 2020

4.7 out of 5 stars 19 ratings

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Frequently bought together

  • Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition
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Editorial Reviews

Review

This new second edition of Mastering Machine Learning Algorithms provides an essential overview of everything you need to know to be able to solve advanced machine learning problems, from A-to-Z: from Algorithms, Artificial Neural Networks, and AdaBoost to normalization, optimization, and regularization, and everything in between. Given the complexity of many of these algorithms, this accomplishment is no small task, and this is no small book. The book's comprehensive contents deliver a rich source of machine learning knowledge.
 
Dr. Kirk Borne, Principal Data Scientist, Data Science Fellow, and Executive Advisor at Booz Allen Hamilton, and co-author of Ten Signs of Data Science Maturity

About the Author

Giuseppe Bonaccorso is Head of Data Science in a large multinational company. He received his M.Sc.Eng. in Electronics in 2005 from University of Catania, Italy, and continued his studies at University of Rome Tor Vergata, and University of Essex, UK. His main interests include machine/deep learning, reinforcement learning, big data, and bio-inspired adaptive systems. He is author of several publications including Machine Learning Algorithms and Hands-On Unsupervised Learning with Python, published by Packt.


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