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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures Uday Kamath, Krishna Choppella - okladka książki

Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures Uday Kamath, Krishna Choppella - okladka książki

Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures Uday Kamath, Krishna Choppella - audiobook MP3

Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures Uday Kamath, Krishna Choppella - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
556
Dostępne formaty:
     PDF
     ePub
     Mobi
Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science.
This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today.
On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain.

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