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Showing posts with label Machine Learning Ebook. Show all posts
Showing posts with label Machine Learning Ebook. Show all posts

29 August, 2020

The Hundred-Page Machine Learning Book

The Hundred-Page Machine Learning Book
Andriy Burkov
Is this book for you?

You will enjoy the book if you are:
- a software engineer or a scientist who wants to become a machine learning engineer or a data scientist
- a data scientist trying to stay on the edge of the state-of-the-art and deepen their ML expertise
- a manager who wants to feel confident while talking about AI with engineers and product people
- a curious person looking to find out how machine learning works and maybe build something new
Categories:
Computers\\Cybernetics: Artificial Intelligence
Year:
2019
Publisher:
Andriy Burkov
Language:
english
Pages:
152
ISBN 13:
978-1999579500
File:
PDF, 6.98 MB
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26 August, 2020

Advances in Financial Machine Learning

Advances in Financial Machine Learning
Marcos Lopez de Prado
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Year:
2020
Edition:
1
Publisher:
Wiley
Language:
english
Pages:
400 / 393
ISBN 10:
1119482089
ISBN 13:
9781119482086
File:
PDF, 8.48 MB
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23 August, 2020

Learn TensorFlow 2.0: Implement Machine Learning And Deep Learning Models With Python

Learn TensorFlow 2.0: Implement Machine Learning And Deep Learning Models With Python
Pramod Singh, Avinash Manure
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.
The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters.
You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways. What You'll Learn:
• Review the new features of TensorFlow 2.0
• Use TensorFlow 2.0 to build machine learning and deep learning models
• Perform sequence predictions using TensorFlow 2.0
• Deploy TensorFlow 2.0 models with practical examples
Who This Book Is For: Data scientists, machine and deep learning engineers.
Categories:
Computers\\Programming
Year:
2020
Publisher:
Apress
Language:
english
Pages:
177
ISBN 10:
1484255577
ISBN 13:
9781484255582
File:
PDF, 6.22 MB
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