Machine Learning Books



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SQL Server Big Data Clusters

SQL Server Big Data Clusters

by Benjamin Weissman, Enrico van de Laar

Use this guide to one of SQL Server 2019's most impactful features - Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional databa...

Price:  $33.58  |  Publisher:  Apress  |  Release:  2020

High Performance Python, 2nd Edition

High Performance Python, 2nd Edition

by Micha Gorelick, Ian Ozsvald

Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python's implementation. How do you take advantage of multic...

Price:  $44.54  |  Publisher:  O'Reilly Media  |  Release:  2020

Practical Synthetic Data Generation

Practical Synthetic Data Generation

by Khaled El Emam, Lucy Mosquera, Richard Hoptroff

Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data - fake data generated from real data - so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue.Data...

Price:  $48.30  |  Publisher:  O'Reilly Media  |  Release:  2020

Practical Statistics for Data Scientists, 2nd Edition

Practical Statistics for Data Scientists, 2nd Edition

by Peter Bruce, Andrew Bruce, Peter Gedeck

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. 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 yo...

Price:  $66.49  |  Publisher:  O'Reilly Media  |  Release:  2020

Spark in Action, 2nd Edition

Spark in Action, 2nd Edition

by Jean-Georges Perrin

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, 2nd Edition, you'll learn to take advantage of Spark's core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises wo...

Price:  $59.99  |  Publisher:  Manning  |  Release:  2020

Mastering Large Datasets with Python

Mastering Large Datasets with Python

by John T. Wolohan

Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You'll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as dist...

Price:  $39.99  |  Publisher:  Manning  |  Release:  2020

Python One-Liners

Python One-Liners

by Christian Mayer

Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science to...

Price:  $33.43  |  Publisher:  No Starch Press  |  Release:  2020

Python Automation Cookbook, 2nd Edition

Python Automation Cookbook, 2nd Edition

by Jaime Buelta

In this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data.This edition will enable you to develop a sharp understanding of the fundamentals required to automa...

Price:  $38.18  |  Publisher:  Packt Publishing  |  Release:  2020

Python Machine Learning, 3rd Edition

Python Machine Learning, 3rd Edition

by Sebastian Raschka, Vahid Mirjalili

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you...

Price:  $35.99  |  Publisher:  Packt Publishing  |  Release:  2019

Python Machine Learning Projects

FREE EBOOK - Python Machine Learning Projects

by Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan

As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they can use to better unde...

Publisher:  DigitalOcean  |  Release:  2019

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