Название: Statistics for Data Science and Analytics
Автор: Peter C. Bruce, Peter Gedeck, Janet Dobbins
Издательство: Wiley
Год: 2025
Страниц: 381
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 29.8 MB

Introductory statistics textbook with a focus on Data Science topics such as prediction, correlation, and data exploration. Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation. The text introduces binary classification, a foundational element of Machine Learning, validation of statistical models by applying them to holdout data, and probability and inference via the easy-to-understand method of resampling and the bootstrap instead of using a myriad of “kitchen sink” formulas. Regression is taught both as a tool for explanation and for prediction. Python is a general programming language that can be used in many different areas. It is especially popular in the Machine Learning and Data Science communities. A wide range of libraries provide efficient solutions for almost every need, from simple one-off scripts, to web servers, and highly complex scientific applications. As we will see throughout this book, it also has great support for statistics.

Название: Handbook of Artificial Intelligence and Data Sciences for Routing Problems
Автор: Carlos A.S. Oliveira, Miltiades P. Pardalos
Издательство: Springer
Год: 2025
Страниц: 273
Язык: английский
Формат: True PDF, True EPUB
Размер: 27.9 MB

This handbook delves into the rapidly evolving field of Artificial Intelligence (AI) and optimization, focusing on the intersection of Machine Learning, combinatorial optimization, and real-world applications in transportation and network design. Covering an array of topics from classical optimization problems such as the Traveling Salesman Problem and the Knapsack Problem, to modern techniques including advanced heuristic methods, Generative Adversarial Networks, and Variational Autoencoders, this book provides a roadmap for solving complex problems. The included case studies showcase practical implementations of algorithms in predicting route sequences, traffic management, and eco-friendly transportation. This comprehensive guide is essential for researchers, practitioners, and students interested in AI and optimization.

Название: The Object-Oriented Approach to Problem Solving and Machine Learning with Python
Автор: Sujith Samuel Mathew, Mohammad Amin Kuhail, Maha Hadid, Shahbano Farooq
Издательство: CRC Press
Год: 2025
Страниц: 315
Язык: английский
Формат: True PDF, True EPUB
Размер: 35.0 MB, 24.0 MB

This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications. Start by solidifying your OOP foundation with clear explanations of core concepts such as use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub. This book doesn’t stop at the basics. Explore how OOP empowers fields such as data persistence, graphical user interfaces (GUIs), Machine Learning, and Data Science, including social media analysis. Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of Machine Learning and Data Science.

Название: Computer Programming with C
Автор: M. Rajaram, P. Uma Maheswari
Издательство: Pearson Education India
Год: April 2024
Страниц: 800
Язык: английский
Формат: epub
Размер: 10.1 MB

With text, programs and practical applications cut out for beginners and intermediate-level students, Computer Programming with C is also designed to be a book of choice for just about anyone who is keen to take an interest in the subject. Each concept is explained at length to ensure that the practical applications are adequately supported by sound theory. All the programs given in this book have been compiled and run on Turbo C Compilers, as are a few significant, fully class-tested applications. Replete with examples, decoded programming exercises and a good number of unsolved problems for practice, the book is intended to disseminate the intricacies of computer programming with C to the discerning reader.

Название: Programming In C, 3rd Edition
Автор: Ashok N. Kamthane, Amit A. Kamthane
Издательство: Pearson Education India
Год: 2015
Страниц: 688
Язык: английский
Формат: epub
Размер: 20.3 MB

C is one of the most popular programming languages. It runs on most software platforms and computer architecture. This revised edition of our best-selling text Programming in C not only maintains the exclusivity of previous editions but also enhances it with the addition of new programs and illustrations. Challenging concepts are supported with numerous solved and unsolved programs. The new chapter on computer graphics ensures that this book comprehensively covers the syllabi of most universities. The book also uses the Turbo C compiler, which is the most widely used C compiler. With its increased coverage and inclusion of new learning tools, this edition is an invaluable asset for students who aim to improve their programming skills.

Название: Analysis of Categorical Data with R, 2nd Edition
Автор: Christopher R. Bilder, Thomas M. Loughin
Издательство: CRC Press
Год: 2025
Страниц: 706
Язык: английский
Формат: True PDF, True EPUB
Размер: 43.3 MB

Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The second edition is a substantial update of the first based on the authors’ experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter—group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The book does not require any prior experience with R. We provide an introduction to the essential features and functions of R in Appendix A. We also provide introductory details on the use of R in the earlier chapters to help inexperienced R users. Throughout the book, as new R functions are needed, their basic features are discussed in the text and their implementation shown with corresponding output. We focus on using R packages that are provided by default with the initial R installation. However, we make frequent use of other R packages when they are significantly better or contain functionality unavailable in the standard R packages. The book contains the code and output as it would appear in the R Console; we make minor modifications at times to the output only to save space within the book. Code provided in the book for plotting is often meant for color display rather than the actual black-and-white display shown in the print and some electronic editions.

Название: Basic Mathematical Foundations of AI: Hands on with Python
Автор: Jamie Flux
Издательство: Independently published
Серия: Mastering Machine Learning
Год: July 31, 2024
Страниц: 521
Язык: английский
Формат: pdf
Размер: 10.1 MB

Unveil the power of AI with this comprehensive guide to the fundamental mathematical foundations behind it. Whether you're a beginner or an advanced learner, this book is the perfect resource to dive deep into the mathematics that underpin Artificial Intelligence (AI) and Machine Learning. With clear explanations and practical examples, each chapter focuses on a specific topic and includes Python code and multiple-choice review questions to reinforce your understanding. From linear equations to advanced techniques like Deep Learning and reinforcement learning, you will gain a solid understanding of the mathematical concepts essential for working in the field of AI. This book is ideal for both beginners looking to build a strong mathematical foundation in AI and experienced practitioners seeking to deepen their knowledge and sharpen their skills. So why wait? Grab your copy today and embark on a fascinating journey into the mathematical foundations of AI!

Название: Vibe Coding for Beginners with Python and ChatGPT
Автор: Greg Lim
Издательство: Independently published
Год: 2025
Язык: английский
Формат: epub
Размер: 16.7 MB

In this book, we take you on a fun, hands-on crash course to Vibe Coding with Python and ChatGPT. With Vibe coding, you will use ChatGPT and Python to build apps for you without you having to do complex coding, while you focus on the big ideas. The goal of this book is to help you learn how to create apps without mastering complex coding. You will learn how to use Python to build real applications for personal use or more. You’ll see results in minutes, from prompt to completion. Unlike traditional programming books, this one doesn’t require you to dive deep into code syntax or take hours to complete. The curriculum is flexible, allowing you to start anywhere or follow the guided learning curve. The first part of the book focuses on simple code that runs in a single file. The second part explores the use of APIs. Finally, the book includes several examples, combining libraries and APIs to demonstrate the types of projects you can create. The goal of this book is to show you how to use and integrate Python’s libraries and APIs. It will equip you with a toolkit of the most useful and enjoyable functions, illustrate how to turn ideas into practical applications.

Название: Python-Powered Business Analytics: A Complete Guide to Data-Driven Decision Making
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1526
Язык: английский
Формат: epub (true)
Размер: 17.7 MB

Python-Powered Business Analytics: A Complete Guide to Data-Driven Decision Making is a comprehensive textbook designed for business students and professionals seeking to leverage Python programming for data analysis. Published in April 2025, this introductory guide assumes no prior programming experience, making it accessible for business, management, and finance students. The book takes a holistic approach, covering Python fundamentals alongside essential mathematical and statistical concepts, Machine Learning methods, and their practical business applications. The text features a running case study to help readers apply theoretical knowledge to real-world scenarios. It includes practical examples demonstrating business analytics applications such as customer churn prediction, fraud detection, and sales forecasting. The book covers both supervised and unsupervised Machine Learning techniques, data visualization, and data manipulation using key libraries like Pandas, NumPy, and Matplotlib.

Название: The Java Architect's Handbook: Designing, Evolving, and Securing Enterprise Applications
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1128
Язык: английский
Формат: epub (true)
Размер: 10.7 MB

The Java Architect's Handbook: Designing, Evolving, and Securing Enterprise Applications is a comprehensive guide for both aspiring and experienced Java architects tasked with building robust, scalable, and secure enterprise systems. Drawing on proven engineering principles and the latest industry practices, this book walks readers through every stage of the architectural process-from requirements analysis and modular design to cloud-native deployment and security hardening. Each chapter offers practical strategies for addressing real-world challenges, including componentization, data integration, performance tuning, and compliance. The book emphasizes clear communication, decision documentation, and continuous evolution, equipping architects to lead teams, manage complexity, and deliver business value in dynamic environments. With actionable patterns, anti-patterns, case studies, and hands-on examples, this handbook is an essential resource for guiding Java projects from conception to successful deployment. Whether you are architecting your first Java enterprise application or seeking to enhance your architectural expertise, you will return to this book again and again for practical insights and professional guidance.