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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Flask Web Development: Developing Web Applications with Python
Flask Web Development: Developing Web Applications with Python

Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you’ll learn Flask from the ground up by developing a complete, real-world application created by author Miguel Grinberg. This refreshed edition accounts for important technology...

Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Deep Learning Cookbook: Practical Recipes to Get Started Quickly

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...

React: Up & Running: Building Web Applications
React: Up & Running: Building Web Applications
Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With this practical guide, Facebook web developer Stoyan Stefanov teaches you how to build components--React's basic building blocks--and organize them into maintainable, large-scale apps. If you're familiar with...
Introducing Erlang
Introducing Erlang

If you’re new to Erlang, its functional style can seem difficult, but with help from this hands-on introduction, you’ll scale the learning curve and discover how enjoyable, powerful, and fun this language can be.

Author Simon St. Laurent shows you how to write simple Erlang programs by teaching you one basic...

Functional Thinking: Paradigm Over Syntax
Functional Thinking: Paradigm Over Syntax

If you’re familiar with functional programming basics and want to gain a much deeper understanding, this in-depth guide takes you beyond syntax and demonstrates how you need to think in a new way. Software architect Neal Ford shows intermediate to advanced developers how functional coding allows you to step back a level of...

Ransomware: Defending Against Digital Extortion
Ransomware: Defending Against Digital Extortion

The biggest online threat to businesses and consumers today is ransomware, a category of malware that can encrypt your computer files until you pay a ransom to unlock them. With this practical book, you’ll learn how easily ransomware infects your system and what steps you can take to stop the attack before it sets foot in the...

Jenkins 2: Up and Running: Evolve Your Deployment Pipeline for Next Generation Automation
Jenkins 2: Up and Running: Evolve Your Deployment Pipeline for Next Generation Automation

Design, implement, and execute continuous delivery pipelines with a level of flexibility, control, and ease of maintenance that was not possible with Jenkins before. With this practical book, build administrators, developers, testers, and other professionals will learn how the features in Jenkins 2 let you define pipelines as code,...

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

IP Routing
IP Routing

This concise guide offers the basic concepts of IP routing, free of hype and jargon. It begins with the simplest routing protocol, RIP, and then proceeds, in order of complexity, to IGRP, EIGRP, RIP2, OSPF, and finally to BGP. New concepts are presented one at a time in successive chapters. By the end, you will have mastered not only...

Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

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