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  • Добавил: literator
  • Дата: 11-12-2021, 15:16
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Algorithms: Practical Guide to Learn Algorithms For BeginnersНазвание: Algorithms: Practical Guide to Learn Algorithms For Beginners
Автор: Andy Vickler
Издательство: Independently published
Год: 2021
Страниц: 179
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Have you ever wondered how a programmer develops games and writes code without having to think too much? Do you want to know what makes a programmer confident about the code they write? Do you want to learn how programmers use algorithms to determine how to structure their programs before they develop it? If you did, this is the book for you. This book will also show you how to implement the sorting and searching algorithms using C and Java programming languages, since these are the most common languages used by programmers.
  • Добавил: TRex
  • Дата: 11-12-2021, 10:53
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Название: 3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods
Автор: Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 156
Размер: 10 Mb
Язык: English

This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks – point cloud classification, segmentation, and registration – which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep learning on point clouds methods include comprehensive analysis of the breakthroughs from the past few years. Brand-new explainable machine learning methods for point cloud learning, which are lightweight and easy to train, are then thoroughly introduced. Quantitative and qualitative performance evaluations are provided. The comparison and analysis between the three types of methods are given to help readers have a deeper understanding.
  • Добавил: TRex
  • Дата: 11-12-2021, 10:16
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Название: Deep Learning: A Comprehensive Guide
Автор: Shriram K. Vasudevan, Sini Raj Pulari, Subashri Vasudevan
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 307
Размер: 141 Mb
Язык: English

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning and Machine Learning concepts. Deep Learning and Machine Learning are the most sought-after domains, require a deep understanding and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting from the basics of neural networks, the architecture of various types of CNNs, RNN, LSTM, etc. till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.
  • Добавил: buratino
  • Дата: 11-12-2021, 08:22
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Название: Azure AI Services at Scale for Cloud, Mobile, and Edge (3d Early Release)
Автор: Anand Raman, Chris Hoder, Simon Bisson
Издательство: O’Reilly
Год: 2021-12-10
Формат: epub/mobi/pdf(conv.)
Размер: 10 Mb
Язык: English

Whether you're a student planning to focus on AI or an experienced software engineer with an idea for the next viral AI app, or if you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.
  • Добавил: buratino
  • Дата: 11-12-2021, 08:10
  • Комментариев: 0
Название: Data Science on the Google Cloud Platform, Second Edition (2nd Early Release)
Автор: Valliappa Lakshmana
Издательство: O’Reilly Media
Год: 2021-12-10
Формат: epub/pdf(conv.)
Размер: 10 Mb
Язык: English

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.
  • Добавил: literator
  • Дата: 11-12-2021, 03:23
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Applied Biomedical Engineering Using Artificial Intelligence and Cognitive ModelsНазвание: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
Автор: Jorge Garza-Ulloa
Издательство: Academic Press, Elsevier
Год: 2022
Страниц: 705
Язык: английский
Формат: pdf (true)
Размер: 37.1 MB

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB and IBM Watson.
  • Добавил: literator
  • Дата: 11-12-2021, 01:53
  • Комментариев: 0
Hands-On Guide to AgileOps: A Guide to Implementing Agile, DevOps, and SRE for Cloud OperationsНазвание: Hands-On Guide to AgileOps: A Guide to Implementing Agile, DevOps, and SRE for Cloud Operations
Автор: Navin Sabharwal, Raminder Rathore
Издательство: Apress
Год: 2022
Страниц: 225
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Discover the best practices for transforming cloud and infrastructure operations by using Agile, Scrum, Kanban, Scrumban and Spotify models. This book will help you gain an in-depth understanding of these processes so that you can apply them to your own work. The book begins by offering an overview of current processes and methods used in IT Operations using ITIL and IT4IT. The Authors provide a background of the Agile, Scrum, Kanban, SaFe, Scrumban, and Spotify models used in software development. You’ll then gain in-depth guidance and best practices to implement Agile in the Operations world. You’ll see how Agile, Site Reliability Engineering and DevOps work in tandem to provide the foundation for modern day infrastructure and cloud operations.
  • Добавил: literator
  • Дата: 11-12-2021, 01:43
  • Комментариев: 0
Practical C++ Design: From Programming to Architecture, 2nd EditionНазвание: Practical C++ Design: From Programming to Architecture, 2nd Edition
Автор: Adam B. Singer
Издательство: Apress
Год: 2022
Страниц: 303
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Go from competent C++ developer to skilled designer or architect using this book as your personal C++ design master class. Updated for the C++20 standard, this title will guide you through the design and implementation of an engaging case study that forms the backdrop for learning the art of applying design patterns and modern C++ techniques to create a high quality, robust application.
  • Добавил: Chipa
  • Дата: 10-12-2021, 19:02
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Название: Навык «Разметка по БЭМ»
Автор: Коллектив
Издательство: HTML academy
Год: 2021
Формат: html
Страниц: много
Размер: 431 Mb
Язык: Русский

Методология БЭМ (Блок, Элемент, Модификатор) — широко распространённый в веб-разработке компонентный подход к описанию структуры интерфейса. Такая структура позволяет быстро создавать предсказуемую и надёжную вёрстку интерфейсов любой сложности. БЭМ-компоненты можно легко расширять и переиспользовать без дублирования кода. Освоив этот навык, вы сможете на этапе анализа макета уверенно разделять интерфейс на независимые блоки и их элементы, определять взаимосвязи между ними, а затем воплощать полученную структуру в разметке.
  • Добавил: literator
  • Дата: 10-12-2021, 17:23
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Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More EfficientНазвание: Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
Автор: Tanay Agrawal
Издательство: Apress
Год: 2021
Страниц: 177
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods.