Python Machine Learning

Imagine a world where computing systems understand people and the world around us them to a point where they can notice patterns, collect data, interpret it and give recommendations to solve real world problems with high level of precision.

Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition.

В книге предполагается, что вы почти ничего не знаете о машинном обучении. Ее цель — предоставить вам концепции, идеи и инструменты, которые необходимы для фактической реализации программ, способных обучаться на основе данных.

Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular.

Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response.

Swift is Apple's new programming language and the future of iOS and OS X app development. It is a high-performance language that feels like a modern scripting language. On the surface, Swift is easy to jump into, but it has complex underpinnings that are critical to becoming proficient at turning an idea into reality

MySQL is the most popular open source database system available. It’s particularly useful for public websites that require a fast and stable database. Even if you’re not familiar with MySQL, you’ve used it many times.

Когда вы пишете программу для компьютера, вы должны "говорить" на языке, который ваш компьютер понимает: на языке программирования. Есть много, очень много разных языков, и многие из них — превосходные.

If you’re standing in a bookstore looking for the short story on this book

This book will guide you through a variety of projects that explore different Python machine learning ideas and different ways of transforming them into web applications. Each chapter ends with a serverless web application accessible by anyone around the world with an Internet connection.

This book was written for anyone who wishes to explore deep learning from scratch or broaden their understanding of deep learning. Whether you’re a practicing machine-learning engineer, a software developer, or a college student, you’ll find value in these pages.

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.

Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.

Have you ever wondered if there are limits to what computer programs can solve? Nowadays, computers appear to do a lot more than simply unravel mathematical equations. In the last half-century, programming has become the ultimate tool to automate tasks and save time, but how much can we automate, and how do we go about doing so?

This book is not an introduction to machine learning. If you are not comfortable with the basic concepts of machine learning or have never spent time learning machine learning, do not buy this book.

Even though this is my second book on technologies in the JavaScript ecosystem, I still find myself somewhat surprised at my role as a JavaScript expert and evangelist. Like so many programmers, I held a strong prejudice against JavaScript up until about 2012. To do such an about-face still feels a little disorienting.

The Road to learn React teaches the fundamentals of React. You will build a real-world application in plain React without complicated tooling. Everything from project setup to deployment on a server will be explained for you. The book comes with additional referenced reading material and exercises with each chapter. After reading the book, you will be able to build your own applications in React. The material is kept up to date by myself and the community.

Java is the world’s most popular programming language, but it’s known for having a steep learning curve. Learn Java the Easy Way takes the chore out of learning Java with hands-on projects that will get you building real, functioning apps right away.

Machine learning exists at the intersection of traditional mathematics and statistics with software engineering and computer science. In this book, we will describe several tools from traditional statistics that allow you to make sense of the world. Statistics has almost always been concerned with learning something interpretable from data, whereas machine learning has been concerned with turning data into something practical and usable.

GO is the new proposal of Google to venture into another field that wants to take away from Microsoft: Programming languages.

Like object-oriented programming, functional programming allows programs to be divided into smaller, reusable components designed to make it easier to create, test, and refactor an application in the future. This guide will show you all the features Of C++ 17 in the field of functional programming on numerous examples.

Develop your first interactive 2D platformer game by learning the fundamentals of C# About This Book Get to grips with the fundamentals of scripting in C# with Unity Create an awesome, 2D platformer game from scratch using the principles of object-oriented programming and coding in C# This is a step-by-step guide to learn the fundamentals of C# scripting to develop GameObjects and master the basics of the new UI system in Unity Who This Book Is For The book is targeted at beginner level Unity developers with no programming experience.