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Grokking Deep Learning
Grokking Deep Learning
Summary

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

Purchase of the print book
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Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

...

Economics for Policy Makers: A Guide for Non-Economists
Economics for Policy Makers: A Guide for Non-Economists

Certain key economic decisions taken by organizations and indeed countries are often not made by economists but by businessmen, trade unionists, politicians and policy-makers. Those who employ people, those who represent workers, those who make laws and those who elect them need economics but may have little time or desire to study...

Mathematical Statistics for Economics and Business
Mathematical Statistics for Economics and Business

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics.  The selection of topics in this textbook is designed to provide students with a...

DevOps for Serverless Applications: Design, deploy, and monitor your serverless applications using DevOps practices
DevOps for Serverless Applications: Design, deploy, and monitor your serverless applications using DevOps practices

Set up complete CI and CD pipelines for your serverless applications using DevOps principles

Key Features

  • Understand various services for designing serverless architecture
  • Build CD pipelines using various cloud providers for your serverless applications
  • ...
Flexible, Reliable Software: Using Patterns and Agile Development (Chapman & Hall/CRC Textbooks in Computing)
Flexible, Reliable Software: Using Patterns and Agile Development (Chapman & Hall/CRC Textbooks in Computing)

Flexible, Reliable Software: Using Patterns and Agile Development guides students through the software development process. By describing practical stories, explaining the design and programming process in detail, and using projects as a learning context, the text helps readers understand why a given...

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
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.
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Java in Two Semesters: Featuring JavaFX (Texts in Computer Science)
Java in Two Semesters: Featuring JavaFX (Texts in Computer Science)

This easy-to-follow textbook teaches Java programming from first principles, as well as covering design and testing methodologies. The text is divided into two parts. Each part supports a one-semester module, the first part addressing fundamental programming concepts, and the second part building on this foundation, teaching the...

Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference star ting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian meth ods in applied...
Modern Statistical Methods for Astronomy: With R Applications
Modern Statistical Methods for Astronomy: With R Applications

Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to...

An Introduction to Tensors and Group Theory for Physicists
An Introduction to Tensors and Group Theory for Physicists

The second edition of this highly praised textbook provides an introduction to tensors, group theory, and their applications in classical and quantum physics. Both intuitive and rigorous, it aims to demystify tensors by giving the slightly more abstract but conceptually much clearer definition found in the math literature, and then connects...

Google Flutter Mobile Development Quick Start Guide: Get up and running with iOS and Android mobile app development
Google Flutter Mobile Development Quick Start Guide: Get up and running with iOS and Android mobile app development

A fast-paced guide to get you started with cross-platform mobile application development with Google Flutter

Key Features

  • Understand the fundamentals of Flutter and get started with cross-platform mobile app development.
  • Learn about different widgets in Flutter and...
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