Название: Discrete Choice Analysis With R
Автор: Antonio Paez, Genevieve Boisjoly
Издательство: Springer
Серия: Use R!
Год: 2022
Страниц: 349
Язык: английский
Формат: pdf (true), epub
Размер: 89.4 MB

This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language. Discrete choice analysis is a family of methods useful to study individual decision-making. With strong theoretical foundations in consumer behavior, discrete choice models are used in the analysis of health policy, transportation systems, marketing, economics, public policy, political science, urban planning, and criminology, to mention just a few fields of application. The book does not assume prior knowledge of discrete choice analysis or R, but instead strives to introduce both in an intuitive way, starting from simple concepts and progressing to more sophisticated ideas. Loaded with a wealth of examples and code, the book covers the fundamentals of data and analysis in a progressive way. Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity. Data visualization (with ggplot2) is emphasized to explore both the input data as well as the results of models.

Название: Foundation Mathematics for Computer Science: A Visual Approach (3rd Edition)
Автор: John Vince
Издательство: Springer
Год: 2023
Страниц: 519
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

In this third edition of Foundation Mathematics for Computer Science, John Vince has reviewed and edited the second edition, and added chapters on systems of counting, area and volume. These subjects complement the existing chapters on visual mathematics, numbers, algebra, logic, combinatorics, probability, modular arithmetic, trigonometry, coordinate systems, determinants, vectors, complex numbers, matrices, geometric matrix transforms, differential and integral calculus. During this journey, the author touches upon more esoteric topics such as quaternions, octonions, Grassmann algebra, Barrycentric coordinates, transfinite sets and prime numbers. Computer science is a very large subject, and graduates pursue a wide variety of careers, including programming, systems design, cryptography, website design, real-time systems, computer animation, computer games, data visualisation, etc.

Название: Data Visualization with Python and jаvascript: Scrape, Clean, Explore, and Transform Your Data, 2nd Edition (Final Release)
Автор: Kyran Dale
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 569
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 34.7 MB

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and jаvascript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and jаvascript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while jаvascript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain.

Название: Raspberry Pi Cookbook: Software and Hardware Problems and Solutions, 4th Edition (Final Release)
Автор: Dr. Simon Monk
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 621
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 236.9 MB, 46.3 MB

If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 hands-on recipes (complete with code) that show you how to run this tiny low-cost computer with Linux, program it with Python, hook it up to sensors and motors, and use it with the internet of things (IoT). This new edition includes new chapters on the Raspberry Pi Pico and Machine Learning with the Raspberry Pi. Although many languages can be used to program the Raspberry Pi, Python is the most popular. In fact, the Pi in Raspberry Pi is inspired by the word python. Although Python’s most recent version, Python 3, has been around for years, you’ll find that a lot of people still use Python 2. Python 3 (the default for Raspberry Pi OS) is run by using either of the commands python or Python 3. The examples in this book are written for Python 3 unless otherwise stated.

Название: Building Evolutionary Architectures: Automated Software Governance, 2nd Edition (Final)
Автор: Neal Ford, Rebecca Parsons, Patrick Kua, Pramod Sadalage
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 262
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

The software development ecosystem is constantly changing, providing a constant stream of new tools, frameworks, techniques, and paradigms. Over the past few years, incremental developments in core engineering practices for software development have created the foundations for rethinking how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This practical guide ties those parts together with a new way to think about architecture and time.

Название: AI-Powered Search (MEAP V15)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2023
Страниц: 583
Язык: английский
Формат: epub
Размер: 48.1 MB

AI-Powered Search teaches you the latest Machine Learning techniques to create search engines that continuously learn from your users and your content, to drive more domain-aware and intelligent search. Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. AI-Powered Search is an authoritative guide to applying leading-edge Data Science techniques to search. Additionally, the code examples in this book are written in Python (and delivered in pre-configured Jupyter notebooks) to appeal both to engineers and data scientists. You don’t need to be an expert in Python, but you should have some programming experience to be able to read and understand the examples.

Название: Version Control with Git: Powerful Tools and Techniques for Collaborative Software Development, 3rd Edition (Final Release)
Автор: Prem Kumar Ponuthorai, Jon Loeliger
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 549
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 32.7 MB

Track, branch, merge, and manage code revisions with Git, the free and open source distributed version control system. Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions. You'll learn how to work with everything from small to very large projects with speed and efficiency. In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach. You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow. Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood.

Название: Training Data for Machine Learning: Human Supervision from Annotation to Data Science (Seventh release)
Автор: Anthony Sarkis
Издательство: O’Reilly Media, Inc.
Год: 2023-01-26
Страниц: 204
Язык: английский
Формат: epub
Размер: 10.1 MB

Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in Deep Learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. What is Training Data? Training Data is the control of a Supervised System. Training Data controls the system by defining the ground truth goals for the creation of Machine Learning models. This involves technical representations, people decisions, processes, tooling, system design, and a variety of new concepts specific to Training Data. In a sense, a Training Data mindset is a paradigm upon which a growing list of theories, research and standards are emerging. A Machine Learning (ML) Model that is created as the end result of a ML Training Process. The code is written to Python.

Название: Software Requirements Essentials: Core Practices for Successful Business Analysis (Rough Cuts)
Автор: Karl Wiegers, Candase Hokanson
Издательство: Pearson Education
Год: 2023
Страниц: 208
Язык: английский
Формат: epub
Размер: 10.2 MB

20 Best Practices for Developing and Managing Requirements on Any Project. This book describes the twenty most important practices that help software teams create a set of requirements to serve as the foundation for the subsequent development work. These practices broadly apply regardless of the type of product the team is creating or their development approach. Some software teams work not on discrete development projects but on existing products that demand ongoing modifications and new functionality. The people who are responsible for requirements work on product teams like those will find the practices in this book equally applicable to their work.

Название: Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
Автор: Dylan Engelbrecht
Издательство: Apress
Год: 2023
Страниц: 213
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Demystify the creation of efficient AI systems using the model-based reinforcement learning Unity ML-Agents - a powerful bridge between the world of Unity and Python. We will start with an introduction to the field of AI, then discuss the progression of AI and where we are today. We will follow this up with a discussion of moral and ethical considerations. You will then learn how to use the powerful machine learning tool and investigate different potential real-world use cases. We will examine how AI agents perceive the simulated world and how to use inputs, outputs, and rewards to train efficient and effective neural networks. Next, you'll learn how to use Unity ML-Agents and how to incorporate them into your game or product. This book will thoroughly introduce you to ML-Agents in Unity and how to use them in your next project. Tthose interested in machine learning using Unity ML-Agents. To get the best out of this book, you should have a fundamental understanding of C#, some background in Python, and are well versed in Unity.