Название: Hands-On Python ADVANCED: with 52 Exercises, 3 Projects, 3 Assignments & Final Exam
Автор: Musa Arda
Издательство: Independently published
Год: 2022
Страниц: 756
Язык: английский
Формат: epub, mobi
Размер: 10.2 MB

This book is an in-depth and activity-based introduction to the advanced level topics of Python programming. It follows a step-by-step practical approach by combining the theory of the language with the hands-on coding exercises including quizzes, projects, assignments and exams. We begin by introducing the Collections module in Python. Then we cover Iterators, Generators, Date and Time Operations, Decorators and Context Managers in Python. We move on with Functional Programming in Python and we have our first project which is about sending emails using Python. Then we learn Regular Expressions, Database Operations and Concurrency in Python. After these topics, we build two projects. The second project in this book is Web Scraping with Python and Scrapy. And the third project is Developing Web APIs with Flask. After each project, you have an assignment to complete. And finally, we have the Final Exam.

Название: Advances in Graph Neural Networks
Автор: Chuan Shi, Xiao Wang, Cheng Yang
Издательство: Springer
Год: 2023
Страниц: 207
Язык: английский
Формат: pdf (true), epub
Размер: 31.2 MB

This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. With the great success of Machine Learning and Deep Learning techniques, how to numerically represent a graph has become a fundamental problem in network analysis. In particular, graph representation learning, which aims to encode each node in a network into a low-dimensional vector, has attracted much attention during the last decade. More recently, representation learning methods based on graph neural networks (GNNs) show their superiority on various graph-based applications, and become the state-of-the-art paradigm for graph representation learning.

Название: Godot 3D Game Development: 2D Adventure Games, 3D Maths and Physics, Game Mechanics, Animations, and 3D Game Development
Автор: Marijo Trkulja
Издательство: BPB Publications
Год: 2023
Страниц: 163
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.16 MB

You can create great video games ... Godot is the way! The impressive Godot game engine allows any programmer to start making 2D and 3D games without any specialized language requirements. In addition, this game engine makes it simple to design video games, create interactive and animated applications, and utilize them in advertising campaigns. The book starts with the fundamental aspects of game production. The book explains how games are made firsthand by interacting with several real-world projects. This book teaches you the basics of game development, which includes how to make a 2D platformer, point-and-click, or adventure game. Later, the book will help you progress to more challenging and complicated games like 3D platformers and 3D role-playing adventures.

Название: Machine Learning: Theory and Practice
Автор: Jugal Kalita
Издательство: CRC Press
Год: 2023
Страниц: 299
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Machine Learning: Theory and Practice provides an introduction to the most popular methods in Machine Learning (ML). The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid, illustrated with figures and examples. For each machine learning method discussed, the book presents appropriate libraries in the R programming language along with programming examples. These days, the predominant programming languages used in academia as well as industry, are Python and R. R is a statistical package, with an associated language that has powerful libraries for all kinds of machine learning tasks. We will also discuss specific libraries like TensorFlow and Keras in the context of deep learning. We include examples in R in the current edition of the book.

Название: Artificial Intelligence, Big Data and Data Science in Statistics
Автор: Ansgar Steland, Kwok-Leung Tsui
Издательство: Springer
Год: 2022
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 11.0 MB

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how Data Science is a combination of statistics, computational science, and Machine Learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.

Название: Machine Learning Algorithms: Adversarial Robustness in Signal Processing
Автор: Fuwei Li, Lifeng Lai, Shuguang Cui
Издательство: Springer
Год: 2022
Страниц: 109
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB

This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of Machine Learning algorithms in signal processing under adversarial attacks. This book targets researchers working in Machine Learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in Machine Learning, adversarial Machine Learning, robust Machine Learning, and technical consultants working on the security and robustness of Machine Learning are likely to purchase this book as a reference guide.

Название: The Beginner's Guide to Data Science
Автор: Robert Ball, Brian Rague
Издательство: Springer
Год: 2022
Страниц: 251
Язык: английский
Формат: pdf (true), epub
Размер: 26.2 MB

This book discusses the principles and practical applications of Data Science, addressing key topics including data wrangling, statistics, Machine Learning (ML), data visualization, natural language processing (NLP) and time series analysis. Detailed investigations of techniques used in the implementation of recommendation engines and the proper selection of metrics for distance-based analysis are also covered. There are many Python example programs used throughout this book. We have done our best to make these examples readily available at a separate downloadable location. In addition, almost every image used in this book was created by Python code. For these plots and diagrams, the source code designed to create the image is cited and available.

Название: An Introduction to Statistics with Python: With Applications in the Life Sciences, 2nd Edition
Автор: Thomas Haslwanter
Издательство: Springer
Год: 2022
Страниц: 341
Язык: английский
Формат: pdf (true)
Размер: 10.05 MB

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader’s immediate understanding of the topic. Accompanying data sets and Python programs are also available online.

Название: Classification Applications with Deep Learning and Machine Learning Technologies
Автор: Laith Abualigah
Издательство: Springer
Год: 2023
Страниц: 287
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB

This book is very beneficial for early researchers/faculty who want to work in Deep Learning and Machine Learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.

Название: Introduction to Infrastructure as Code: A Brief Guide to the Future of DevOps
Автор: Sneh Pandya, Riya Guha Thakurta
Издательство: Apress
Год: 2022
Страниц: 196
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Get inspired to explore the depths of the DevOps field. In today’s rapidly transforming world, Infrastructure as Code (IaC) has emerged as an effective approach to maintain, scale, and deploy software systems. This book offers a mixture of foundational IaC concepts and practical examples to give you hands-on experience. You will first gain an understanding of DevOps culture as well as how to adapt to IaC. Introduction to Infrastructure as Code begins by reviewing the innovative features that DevOps in general, and IaC in particular, have to offer for adoption and growth for different verticals. With this solid base established, you will then learn the importance, processes, and outcome of building infrastructure solutions.