Название: AI-Powered Search (MEAP V14)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2022
Страниц: 546
Язык: английский
Формат: pdf, epub
Размер: 75.7 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. As you can imagine given that goal, this is not an “introduction to search” book. In order to get the most out of this book, you should ideally already be familiar with the core capabilities of modern search engines (inverted indices, relevance ranking, faceting, query parsing, text analysis, and so on) through experience with a technology like Apache Solr, Elasticsearch/OpenSearch, Vespa, or Apache Lucene. If you need to come up to speed quickly, Solr in Action (which I also wrote) provides you with all the search background necessary to dive head-first into AI-Powered 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: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python (Final Release)
Автор: Mike X Cohen
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf (true), epub (true)
Размер: 24.3 MB

Если вы хотите работать в любой вычислительной или технической области, вам необходимо понимать линейную алгебру. Как изучение матриц и операций над ними, линейная алгебра является математической основой почти всех алгоритмов и анализов, реализованных в компьютерах. Но то, как она представлена в учебниках десятилетней давности, значительно отличается от того, как профессионалы используют линейную алгебру сегодня для решения реальных современных задач. Это практическое руководство от Майка Икс Коэна обучает основным понятиям линейной алгебры, реализованным в Python, включая то, как они используются в науке о данных, машинном обучении (ML), глубоком обучении (DL), вычислительном моделировании и приложениях по обработке биомедицинских данных. Вооружившись знаниями из этой книги, вы сможете понять, реализовать и адаптировать огромное количество современных методов и алгоритмов анализа.

Название: Build Your Microservices: Deploying tracker, Mongo service, Evolutionary patterns leveraging organizational data, Management cluster
Автор: Aharen-san
Издательство: Independently published
Год: 2022
Страниц: 199
Язык: английский
Формат: pdf, epub
Размер: 23.8 MB

We're going to have a look at orchestration systems and we're going to see what they can do for you. And this course is concentrating on Kubernetes, which is just one example of a container orchestration system. I guess the first thing to learn is I couldn't fit the phrase Orchestration with Kubernetes onto this title slide, so you'll find it's commonly abbreviated to K8S, with eight just being the number of letters that we've skipped. Anyway, it stands for Kubernetes and we're looking here at orchestration systems. Containers have become a very popular way of deploying systems in the last few years, and by far the most popular containerization system is Docker.

Название: Causal Machine Learning (MEAP v3)
Автор: Robert Osazuwa Ness
Издательство: Manning Publications
Год: 2022
Страниц: 187
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

How do you know what might have happened, had you done things differently? Causal machine learning gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal machine learning is a major milestone in machine learning, allowing AI models to make accurate predictions based on causes rather than just correlations. Causal techniques help you make models that are more robust, explainable, and fair, and have a wide range of applications, from improving recommendation engines to perfecting self-driving cars. Causal Machine Learning teaches you how to build machine learning and deep learning models that implement causal reasoning. New techniques are demonstrated with example models for solving industry-relevant problems. You’ll learn about causality for recommendations; causal modeling of online conversions; and uplift, attribution, and churn modeling. Each technique is tested against a common set of problems, data, and Python libraries, so you can compare and contrast which will work best for you.

Название: Functional Design and Architecture (MEAP v7)
Автор: Alexander Granin
Издательство: Manning Publications
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf, epub
Размер: 13.4 MB

Design patterns and architectures for building production quality applications using functional programming, with examples in Haskell and other FP languages. Functional Design and Architecture is a pioneering guide to software engineering using Haskell and other functional languages. In it, you’ll discover Functional Declarative Design and other design principles perfect for working in Haskell, PureScript, F#, and Scala. Functional programming offers a powerful alternative to object-oriented programming that helps tackle the complexities of large-scale software. Entrenched design patterns and architectural principles made for OOP are poorly suited for creating large-scale functional applications. This book lays out new methodologies, principles, and architectures optimized for high-level software design using functional languages.

Название: F# in Action (MEAP v4)
Автор: Isaac Abraham
Издательство: Manning Publications
Год: 2022
Страниц: 199
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

F# is designed to make functional programming practical and accessible, especially for developers working on the .NET platform. This book will get you started. F# in Action swiftly guides you from Functional Programming novice all the way to putting F# applications into production! It leverages your existing knowledge of software development and the .NET platform to get you up-and-running fast. You’ll quickly master the F# you need to start getting stuff done. Learn how you can use scripts to rapidly explore .NET libraries and packages, and level up your .NET skills for data exploration and analysis. You’ll even discover how F#’s “light touch” approach to functional programming ensures error-free code without the complex math you might normally associate with FP.

Название: Multiplayer Game Development in Rust (MEAP v2)
Автор: Stephan Dilly, Lyon Becker
Издательство: Manning Publications
Год: 2022
Страниц: 150
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Use Rust to create a high performance and easy-to-scale multiplayer game that can handle hundreds of players. In Multiplayer Game Development in Rust you’ll learn how to build performance-optimized applications in Rust by developing your own multiplayer game backend. You’ll iterate on your backend in every chapter, adding new features as you go. Discover how Rust can deliver increased performance and memory safety, and take advantage of handy Rust tools and libraries that can help with the heavy lifting. Modern games often use completely different stacks for the frontend and backend. Developers end up needing to write the game logic twice, or they have to build complex solutions for data exchange. Rust is an ideal language for the whole project, delivering high performance on both client and server.

Название: Google Anthos in Action (MEAP v11)
Автор: Antonio Gulli
Издательство: Manning Publications
Год: 2022
Страниц: 795
Язык: английский
Формат: pdf, epub
Размер: 31.9 MB

Learn Anthos directly from the Google development team! Anthos delivers a consistent management platform for deploying and operating Linux and Windows applications anywhere—multicloud, edge, on-prem, bare metal, or VMware. In a cloud-centric world, all deployment is becoming hybrid deployment. Anthos is a modern, Kubernetes-based cloud platform that enables you to run your software in multicloud, hybrid, or on-premises deployments using the same operations tools and approach. With powerful automation features, it boosts your efficiency along the whole development lifecycle. Google Anthos in Action demystifies Anthos with practical examples of Anthos at work and invaluable insights from the Google team that built it. Anthos is built on a simple concept: write once, and run anywhere—whether that’s on-prem, in any public cloud, on the edge, or all three.

Название: An Introduction to Python Programming for Scientists and Engineers
Автор: Johnny Wei-Bing Lin, Hannah Aizenman, Erin M.C. Espinel, Kim Gunnerson
Издательство: Cambridge University Press
Год: 2022
Страниц: 766
Язык: английский
Формат: pdf (true)
Размер: 57.7 MB

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.

Название: Statistics and Data Visualisation with Python
Автор: Jesus Rogel-Salazar
Издательство: CRC Press
Серия: The Python Series
Год: 2023
Страниц: 554
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers who have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning, and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications. In the Chapter 3 we are going to concentrate on a few that are useful in statistical analysis, namely NumPy, SciPy and Pandas.