Название: Model-Based Machine Learning
Автор: John Winn
Издательство: CRC Press
Год: 2024
Страниц: 428
Язык: английский
Формат: pdf (true)
Размер: 30.8 MB

Today, Machine Learning (ML) is being applied to a growing variety of problems in a bewildering variety of domains. When doing machine learning, a fundamental challenge is connecting the abstract mathematics of a particular Machine Learning technique to a concrete, real-world problem. This book tackles this challenge through model-based Machine Learning. Model-based Machine Learning is an approach which focuses on understanding the assumptions encoded in a ML system, and their corresponding impact on the behaviour of the system. The practice of model-based ML involves separating out these assumptions being made about a real-world situation from the detailed mathematics of the algorithms needed to do the ML. This approach makes it easier to both understand the behaviour of a ML system and to communicate this to others.

Название: Enterprise Social for the Java Platform: Shares, Mashups, Likes, and Ways to Integrate Social Media into Your Cloud Native Enterprise Java Applications
Автор: Werner Keil
Издательство: Apress
Год: 2024
Страниц: 301
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Learn everything you need to know about frameworks that help developers to integrate their solutions with social networks or APIs, from general purpose (Facebook, Twitter, Google, Mastodon) to specialized (LinkedIn, Xing, WhatsApp, YouTube, Instagram, Flickr, TikTok) to vertical (eToro, Fitbit, Strava). This book will teach you how to add social media features to web applications or services developed using Java, Jakarta EE, or generally running on a Java Virtual Machine (JVM). Jam-packed with practical examples of social integration into enterprise applications, you’ll learn how to address common requirements such as social login, identity federation, single sign-on via social accounts, OpenID Connect, and mashups. You’ll also see how to leverage Java social frameworks like Facebook Business SDK, Twitter4J, Agorava, Keycloak, and Spring Security.

Название: Python for Everybody: Exploring Data in Python 3 (2023 Update)
Автор: Charles R. Severance
Издательство: Independently published
Год: 2023-Jun-29
Страниц: 249
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software. This book uses the Python 3 language. Writing programs (or programming) is a very creative and rewarding activity. You can write programs for many reasons, ranging from making your living to solving a difficult data analysis problem to having fun to helping someone else solve a problem. This book assumes that everyone needs to know how to program, and that once you know how to program you will figure out what you want to do with your newfound skills.

Название: Scientific Python Lectures, 2023 Edition
Автор: Gael Varoquaux, Emmanuelle Gouillart
Издательство: Creative Commons
Год: 2023
Страниц: 696
Язык: английский
Формат: pdf (true)
Размер: 17.4 MB

Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. Unlike Matlab, or R, Python does not come with a pre-bundled set of modules for scientific computing. Below are the basic building blocks that can be combined to obtain a scientific computing environment: Python, a generic and modern computing language: • The language: flow control, data types (string, int), data collections (lists, dictionaries), etc.; • Modules of the standard library: string processing, file management, simple network protocols; • A large number of specialized modules or applications written in Python: web framework, etc.; • Development tools (automatic testing, documentation generation).

Название: Matplotlib for Storytellers: Python Data Visualization
Автор: Alexander Clark
Издательство: Leanpub
Год: July 22, 2023
Страниц: 193
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book is written for frustrated and reluctant Matplotlib users who care about crafting good data visuals. Matplotlib can be a blank canvas, offering more room for customization than you might find in Microsoft Excel, and offers the advantages of reproducibility and automation that come from working with Python. Still, becoming comfortable with matplotlib requires a lot of patience. I wrote this book to help make that easier and put some essentials in one place. This book itself doesn't show you how to make particular chart types. The idea is you already have a bar chart, line plot, histogram, etc, but that it's ugly. The book helps you figure out how to beautify your charts and helps make those steps seem less mysterious.

Название: Coding and Programming Tricks & Tips - 16th Edition, 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Язык: английский
Формат: pdf
Размер: 44.7 MB

Coding and Programming Tricks & Tips is the perfect digital publication for the user that wants to take their skill set to the next level. Do you want to enhance your user experience? Or wish to gain insider knowledge? Do you want to learn directly from experts in their field? Learn the numerous short cuts that the professionals use? Over the pages of this new advanced user guide you will learn everything you will need to know to become a more confident, better skilled and experienced owner. A user that will make the absolute most of their software and ultimately their coding skills themselves. An achievment you can earn by simply enabling us to exclusively help and teach the abilities we have gained over our decades of experience.

Название: Python для Excel
Автор(ы): Зумштейн Ф.
Издательство: БХВ-Петербург
Год: 2023
Страниц: 326
Формат: PDF
Размер: 13 Мб
Язык: русский

Книга посвящена автоматизации Excel с помощью языка программирования Python. Описаны дистрибутив Anaconda Python и современные средства разработки, такие как менеджеры пакетов Conda и pip, блокноты Jupyter и Visual Studio Code. Даны необходимые основы языка Python и введение в анализ данных с помощью библиотеки pandas.

Название: Machine Learning-Based Modelling in Atomic Layer Deposition Processes
Автор: Oluwatobi Adeleke, Tien-Chien Jen, Sina Karimzadeh
Издательство: CRC Press
Год: 2024
Страниц: 377
Язык: английский
Формат: pdf (true)
Размер: 40.2 MB

While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This book provides in-depth information regarding the application of ML-based modeling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modeling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modeling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, this book fills significant knowledge gaps in the existing resources as it provides extensive information on ML and its applications in film thin technology. Explores the application of key techniques in ML, such as predictive analysis, classification techniques, feature engineering, image processing capability, and microstructural analysis of Deep Learning algorithms and generative model benefits in ALD.

Название: Introduction to NFL Analytics with R
Автор: Bradley J. Congelio
Издательство: CRC Press
Серия: Chapman & Hall/CRC Data Science Series
Год: 2024
Страниц: 383
Язык: английский
Формат: pdf (true)
Размер: 33.6 MB

It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrate advanced numbers into their game plans, and commentators, throughout broadcasts, regularly use terms such as air yards, CPOE, and EPA on a casual basis. This rapid growth, combined with an increasing accessibility to NFL data, has helped create a burgeoning amateur analytics movement, highlighted by the NFL’s annual Big Data Bowl. Because learning a coding language can be a difficult enough endeavor, Introduction to NFL Analytics with R is purposefully written in a more informal format than readers of similar books may be accustomed to, opting to provide step-by-step instructions in a structured, jargon-free manner. The book is written for novices of R programming all the way to more experienced coders, as well as audiences with differing expected outcomes.

Название: Optimizing Cloud Native Java: Practical Techniques for Improving JVM Application Performance, 2nd Edition (Early Release)
Автор: Ben Evans, James Gough
Издательство: O’Reilly Media, Inc.
Год: 2023-11-03
Страниц: 117
Язык: английский
Формат: pdf, epub
Размер: 10.08 MB

Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach. In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.