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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...

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...

Algorithms For Interviews
Algorithms For Interviews
Algorithms for Interviews (AFI) aims to help engineers interviewing for software development positions. The primary focus of AFI is algorithm design. The entire book is presented through problems interspersed with discussions. The problems cover key concepts and are well-motivated, challenging, and fun to solve.

...
MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

Uncover the power of MySQL 8 for Big Data

About This Book

  • Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization
  • Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop
  • A comprehensive guide with practical...
Python Recipes Handbook: A Problem-Solution Approach
Python Recipes Handbook: A Problem-Solution Approach

Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your...

Bash it Out!: Strengthen your Bash knowledge with 17 scripting challenges of varied difficulties
Bash it Out!: Strengthen your Bash knowledge with 17 scripting challenges of varied difficulties

Do you want to improve your Bash skills? Be aware of the common or not-so-common pitfalls of interactive Bash usage? Or simply test your friends (and/or your employees!) with subtle brainteasers? Then, this book is for you! The goal of the book is to let you discover a thing or two about the Bash and Linux/Unix command line by solving...

Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
JAVA DESIGN PATTERNS
JAVA DESIGN PATTERNS
If a problem occurs over and over again, a solution to that problem has been used effectively. That solution is described as a pattern. The design patterns are languageindependent strategies for solving common object-oriented design problems. When you make a design, you should know the names of some common solutions. Learning design...
Matlab: A Practical Introduction to Programming and Problem Solving
Matlab: A Practical Introduction to Programming and Problem Solving

MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software’s powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on...

Blockchain Basics: A Non-Technical Introduction in 25 Steps
Blockchain Basics: A Non-Technical Introduction in 25 Steps

In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.

This book...

Game Development Patterns and Best Practices: Better games, less hassle
Game Development Patterns and Best Practices: Better games, less hassle

Utilize proven solutions to solve common problems in game development

About This Book

  • Untangle your game development workflow, make cleaner code, and create structurally solid games
  • Implement key programming patterns that will enable you to make efficient AI and remove duplication
  • ...
Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving (The MIT Press)
Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving (The MIT Press)
Too much mathematical rigor teaches rigor mortis: the fear of making an unjustified leap even when it lands on a correct result. Instead of paralysis, have courage—shoot first and ask questions later. Although unwise as public policy, it is a valuable problem-solving philosophy, and it is the theme of this book: how to...
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