Learn IT - Books tags problem

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

O'Reilly, 2018

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...

Algorithms For Interviews

CreateSpace, 2010

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.

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Python Recipes Handbook: A Problem-Solution Approach

Apress, 2016

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...

Deep Learning with Python: A Hands-on Introduction

Apress, 2017

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...

Matlab: A Practical Introduction to Programming and Problem Solving

Butterworth-Heinemann, 2013

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...

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

Independent Publishers Group, 2017

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...

JAVA DESIGN PATTERNS

Independent Publishers Group, 2017

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...

Blockchain Basics: A Non-Technical Introduction in 25 Steps

Apress, 2017

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

Packt Publishing, 2017

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

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Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving (The MIT Press)

MIT Press, 2010

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...

Problem Solving with C++

Addison Wesley, 2008

This book is meant to be used in a first course in programming and computer science using the C++ language. It assumes no previous programming experience and no mathematics beyond high school algebra.

If you have used the previous edition of this book, you should read the following section that explains the changes...

Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

Apress, 2017

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.

It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or...

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