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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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Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition
Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition

Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.

Key Features

  • Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability
  • Design...
The BASICS Lean Implementation Model
The BASICS Lean Implementation Model

In 2004 Charlie Protzman created The BASICS Lean Implementation Model, which covers the full spectrum of what is needed to be effective and successful at implementing a Lean System. The reader is taken through a step by step approach developed over the last 15 years, in the use and understanding of Lean tools, principles, and...

Microservices for the Enterprise: Designing, Developing, and Deploying
Microservices for the Enterprise: Designing, Developing, and Deploying
Understand the key challenges and solutions around building microservices in the enterprise application environment. This book provides a comprehensive understanding of microservices architectural principles and how to use microservices in real-world scenarios.

Architectural challenges using microservices with service
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Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete...
An Introduction to Cyber Modeling and Simulation (Wiley Series in Modeling and Simulation)
An Introduction to Cyber Modeling and Simulation (Wiley Series in Modeling and Simulation)

Introduces readers to the field of cyber modeling and simulation and examines current developments in the US and internationally

This book provides an overview of cyber modeling and simulation (M&S) developments. Using scenarios, courses of action (COAs), and current M&S and simulation environments,...

Artificial Intelligence Basics: A Non-Technical Introduction
Artificial Intelligence Basics: A Non-Technical Introduction

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and...

Learn Java 12 Programming: A step-by-step guide to learning essential concepts in Java SE 10, 11, and 12
Learn Java 12 Programming: A step-by-step guide to learning essential concepts in Java SE 10, 11, and 12

A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming

Key Features

  • Strengthen your knowledge of important programming concepts and the latest features in Java
  • Explore core...
Temporal Type Theory: A Topos-Theoretic Approach to Systems and Behavior (Progress in Computer Science and Applied Logic)
Temporal Type Theory: A Topos-Theoretic Approach to Systems and Behavior (Progress in Computer Science and Applied Logic)
This innovative monograph explores a new mathematical formalism in higher-order temporal logic for proving properties about the behavior of systems. Developed by the authors, the goal of this novel approach is to explain what occurs when multiple, distinct system components interact by using a category-theoretic description of behavior...
Keywords in Radical Philosophy and Education (Critical Understanding in Education)
Keywords in Radical Philosophy and Education (Critical Understanding in Education)
While education is an inherently political field and practice, and while the political struggles that radical philosophy takes up necessarily involve education, there remains much to be done at the intersection of education and radical philosophy. That so many intense political struggles today actually center educational processes and...
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
Necessity Lost: Modality and Logic in Early Analytic Philosophy, Volume 1
Necessity Lost: Modality and Logic in Early Analytic Philosophy, Volume 1
A long tradition, going back to Aristotle, conceives of logic in terms of necessity and possibility: a deductive argument is correct if it is not possible for the conclusion to be false when the premises are true. A relatively unknown feature of the analytic tradition in philosophy is that, at its very inception, this venerable conception of the...
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