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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.
...
Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition
Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition

Leverage Docker to deploying software at scale

Key Features

  • Leverage practical examples to manage containers efficiently
  • Integrate with orchestration tools such as Kubernetes for controlled deployments
  • Learn to implement best practices on improving...
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers

Choose the smarter way to learn about containerizing your applications and running them in production.

Key Features

  • Deploy and manage highly scalable, containerized applications with Kubernetes
  • Build high-availability Kubernetes clusters
  • Secure your...
Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

You need much more than imagination to predict earthquakes and detect brain cancer cells. Become an expert in designing and deploying TensorFlow and Keras models, and generate insightful predictions with the power of deep learning.

Key Features

  • Cover the basics of neural networks and...
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...
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...
SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance
SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance

Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.

...

Software & Systems Requirements Engineering: In Practice
Software & Systems Requirements Engineering: In Practice

Proven Software & Systems Requirements Engineering Techniques

"Requirements engineering is a discipline used primarily for large and complex applications. It is more formal than normal methods of gathering requirements, and this formality is needed for many large applications. The authors are experienced...

Spark for Python Developers
Spark for Python Developers

Key Features

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)
  • Inject live data using Spark Streaming with real-time events

Book Description

Looking...

DevOps with Kubernetes: Accelerating software delivery with container orchestrators
DevOps with Kubernetes: Accelerating software delivery with container orchestrators

Learn to implement DevOps using Docker & Kubernetes.

About This Book

  • Learning DevOps, container, and Kubernetes within one book.
  • Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.
  • A practical guide towards container management and...
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python

Build optimized applications in Python by smartly implementing the standard library

Key Features

  • Strategic recipes for effective application development in Python
  • Techniques to create GUIs and implement security through cryptography
  • Best practices for...
Introducing Azure Kubernetes Service: A Practical Guide to Container Orchestration
Introducing Azure Kubernetes Service: A Practical Guide to Container Orchestration
This book is a practical guide to Microsoft’s Azure Kubernetes Service (AKS), a container orchestration platform. The goal of this book is to take the reader from 0 to 100 deploying and running a Kubernetes cluster on Microsoft Azure cloud. For anyone embarking on this book, it is ideal to have experience in the...
unlimited object storage image
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