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Practical Machine Learning with Rust, Joydeep Bhattacharjee


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Автор: Joydeep Bhattacharjee
Название:  Practical Machine Learning with Rust
ISBN: 9781484251201
Издательство: Springer
Классификация:


ISBN-10: 1484251202
Обложка/Формат: Soft cover
Страницы: 354
Вес: 0.57 кг.
Дата издания: 2020
Язык: English
Издание: 1st ed.
Иллюстрации: 25 illustrations, color; 2 illustrations, black and white; ix, 218 p. 27 illus., 25 illus. in color.
Размер: 234 x 156 x 20
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Creating Intelligent Applications in Rust
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud.After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will LearnWrite machine learning algorithms in RustUse Rust libraries for different tasks in machine learningCreate concise Rust packages for your machine learning applicationsImplement NLP and computer vision in RustDeploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.
Дополнительное описание: Chapter 1: Basics of Rust.- Chapter 2: Supervised learning.- Chapter 3: Unsupervised learning and Reinforcement learning.- Chapter 4: Data Processing.- Chapter 5: Natural Language Processing in Rust.- Chapter 6: Computer Vision in Rust.- Chapter 7: Depl



Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: Random House (USA)
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Цена: 17243.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Hands-On Functional Programming in Rust

Автор: Johnson Andrew
Название: Hands-On Functional Programming in Rust
ISBN: 1788839358 ISBN-13(EAN): 9781788839358
Издательство: Неизвестно
Цена: 9378.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Functional programming allows developers to divide programs into smaller, reusable components that ease the creation and maintenance of software as a whole. Combining power of Rust, you can develop robust applications that fulfill modern day software requirements. This book will help you discover Rust features to build software in a functional way.

Rust Standard Library Cookbook

Автор: Nils Ferner Jan, Durante Daniel
Название: Rust Standard Library Cookbook
ISBN: 1788623924 ISBN-13(EAN): 9781788623926
Издательство: Неизвестно
Цена: 8525.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Mozilla`s Rust is gaining much attention with amazing features and a powerful library. This book will take you through varied recipes to teach you how to leverage the Standard library to implement effective solutions.

Hands-On Concurrency with Rust

Автор: Troutwine Brian L.
Название: Hands-On Concurrency with Rust
ISBN: 1788399978 ISBN-13(EAN): 9781788399975
Издательство: Неизвестно
Цена: 9378.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Writing safe and correct parallel programs is tough. Reasoning about concurrent memory modification is tough; efficiently exploiting the modern computing environment (with its multi-layered caches and deep execution pipelines) is also tough. Most systems programming languages add a further complication: unsafe memory access. The burden on you, ...

Hands-On Data Structures and Algorithms with Rust

Автор: Matzinger Claus
Название: Hands-On Data Structures and Algorithms with Rust
ISBN: 178899552X ISBN-13(EAN): 9781788995528
Издательство: Неизвестно
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Цена: 8458.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Hands-On Data Structures and Algorithms with Rust will help you in upgrading your earlier knowledge of Rust so that you shift to a confident developer by implementing the algorithms in a practical environment. This would be an essential reference guide for end-user/reader to understand the fundamental techniques of Rust. This guide will cover ...

Programming Rust

Автор: Blandy Jim
Название: Programming Rust
ISBN: 1491927283 ISBN-13(EAN): 9781491927281
Издательство: Wiley
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Цена: 7602.00 р.
Наличие на складе: Поставка под заказ.

Описание: Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it.

Learning Rust

Автор: Kaihlavirta Vesa, Johnson Paul
Название: Learning Rust
ISBN: 1785884301 ISBN-13(EAN): 9781785884306
Издательство: Неизвестно
Цена: 9378.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Rust is a highly concurrent and high performance language that focuses on safety and speed, memory management, and writing clean code. It also guarantees thread safety, and its aim is to improve the performance of existing applications. Learning Rust will teach you to build concurrent, fast, and robust applications. From learning the basic synta...

Mastering Rust -Second Edition

Автор: Sharma Rahu, Kaihlavirta Vesa
Название: Mastering Rust -Second Edition
ISBN: 1789346576 ISBN-13(EAN): 9781789346572
Издательство: Неизвестно
Рейтинг:
Цена: 10666.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Mastering Rust, Second Edition covers a comprehensive list of topics that will help you gain deeper insights into the language. It will allow you how to create high performing applications effortlessly.

Python machine learning -

Автор: Raschka, Sebastian Mirjalili, Vahid
Название: Python machine learning -
ISBN: 1787125939 ISBN-13(EAN): 9781787125933
Издательство: Неизвестно
Цена: 8458.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you`ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.

Practical Machine Learning with H2O

Автор: Darren Cook
Название: Practical Machine Learning with H2O
ISBN: 149196460X ISBN-13(EAN): 9781491964606
Издательство: Wiley
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Цена: 6334.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.

Data Mining and Data Warehousing: Principles and Practical Techniques

Автор: Parteek Bhatia
Название: Data Mining and Data Warehousing: Principles and Practical Techniques
ISBN: 1108727743 ISBN-13(EAN): 9781108727747
Издательство: Cambridge Academ
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Цена: 10771.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook gives an in-depth discussion of basic principles and practical techniques of data mining and data warehousing. Theoretical concepts are discussed in detail with the help of practical examples. It covers data mining tools and language such as Weka and R language.

Practical Machine Learning

Автор: Gollapudi Sunila
Название: Practical Machine Learning
ISBN: 178439968X ISBN-13(EAN): 9781784399689
Издательство: Неизвестно
Рейтинг:
Цена: 9930.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book - packed with practical tutorials

Key Features

  • Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
  • Comprehensive practical solutions taking you into the future of machine learning
  • Go a step further and integrate your machine learning projects with Hadoop

Book Description

This book explores an extensive range of machine learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles. Inside, a full exploration of the various algorithms gives you high-quality guidance so you can begin to see just how effective machine learning is at tackling contemporary challenges of big data.

This is the only book you need to implement a whole suite of open source tools, frameworks, and languages in machine learning. We will cover the leading data science languages, Python and R, and the underrated but powerful Julia, as well as a range of other big data platforms including Spark, Hadoop, and Mahout. Practical Machine Learning is an essential resource for the modern data scientists who want to get to grips with its real-world application.

With this book, you will not only learn the fundamentals of machine learning but dive deep into the complexities of real world data before moving on to using Hadoop and its wider ecosystem of tools to process and manage your structured and unstructured data.

You will explore different machine learning techniques for both supervised and unsupervised learning; from decision trees to Na ve Bayes classifiers and linear and clustering methods, you will learn strategies for a truly advanced approach to the statistical analysis of data. The book also explores the cutting-edge advancements in machine learning, with worked examples and guidance on deep learning and reinforcement learning, providing you with practical demonstrations and samples that help take the theory-and mystery-out of even the most advanced machine learning methodologies.

What you will learn

  • Implement a wide range of algorithms and techniques for tackling complex data
  • Get to grips with some of the most powerful languages in data science, including R, Python, and Julia
  • Harness the capabilities of Spark and Hadoop to manage and process data successfully
  • Apply the appropriate machine learning technique to address real-world problems
  • Get acquainted with Deep learning and find out how neural networks are being used at the cutting-edge of machine learning
  • Explore the future of machine learning and dive deeper into polyglot persistence, semantic data, and more

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