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Books tags: machines
System Center 2016 Virtual Machine Manager Cookbook - Third Edition: Design, configure, and manage an efficient virtual infrastructure with VMM in System Center 2016
System Center 2016 Virtual Machine Manager Cookbook - Third Edition: Design, configure, and manage an efficient virtual infrastructure with VMM in System Center 2016

Maximize your administration skills effectively and efficiently

Key Features

  • Implement cost-effective virtualization solutions for your organization with actionable recipes
  • Explore the concepts of VMM with real-world use cases
  • Use the latest features with...
Metasploit Penetration Testing Cookbook - Third Edition: Evade antiviruses, bypass firewalls, and exploit complex environments with the most widely used penetration testing framework
Metasploit Penetration Testing Cookbook - Third Edition: Evade antiviruses, bypass firewalls, and exploit complex environments with the most widely used penetration testing framework

Over 100 recipes for penetration testing using Metasploit and virtual machines

Key Features

  • Special focus on the latest operating systems, exploits, and penetration testing techniques
  • Learn new anti-virus evasion techniques and use Metasploit to evade countermeasures
    • ...
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision and...
Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library
Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Key Features

  • Focuses on more efficient natural language processing using TensorFlow
  • Covers NLP as a field in its own right to improve understanding for choosing TensorFlow...
Regex Quick Syntax Reference: Understanding and Using Regular Expressions
Regex Quick Syntax Reference: Understanding and Using Regular Expressions
This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. It demonstrates regex syntax in a well-organized format that can be used as a handy reference, showing you how to execute regexes in many languages, including JavaScript, Python, Java, and...
Learn Ethical Hacking from Scratch: Your stepping stone to penetration testing
Learn Ethical Hacking from Scratch: Your stepping stone to penetration testing

Learn how to hack systems like black hat hackers and secure them like security experts

Key Features

  • Understand how computer systems work and their vulnerabilities
  • Exploit weaknesses and hack into machines to test their security
  • Learn how to secure systems...
Practical Docker with Python: Build, Release and Distribute your Python App with Docker
Practical Docker with Python: Build, Release and Distribute your Python App with Docker
Learn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker.

After an introduction to Containers and Docker you'll be guided through Docker installation and...
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book?Amazon, Microsoft, Google, and PythonAnywhere.

You will work through a series of common Python data science problems...

Hands-On Kubernetes on Azure: Run your applications securely and at scale on the most widely adopted orchestration platform
Hands-On Kubernetes on Azure: Run your applications securely and at scale on the most widely adopted orchestration platform

Efficiently deploy and manage Kubernetes clusters on a cloud

Key Features

  • Deploy highly scalable applications with Kubernetes on Azure
  • Leverage AKS to deploy, manage, and operations of Kubernetes
  • Gain best practices from this guide to increase efficiency...
Building Serverless Microservices in Python: A complete guide to building, testing, and deploying microservices using serverless computing on AWS
Building Serverless Microservices in Python: A complete guide to building, testing, and deploying microservices using serverless computing on AWS

A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects.

Key Features

  • Create a secure, cost-effective, and scalable serverless data API
  • Use identity management and authentication for a user-specific and secure...
Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python

Key Features

  • A go-to guide to help you master AI algorithms and concepts
  • 8 real-world projects tackling different challenges in healthcare, e-commerce, and...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
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