LitMy.ru - литература в один клик

  • Добавил: literator
  • Дата: 18-10-2022, 14:33
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Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 hoursНазвание: Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 hours
Автор: Chandril Ghosh
Издательство: Springer
Год: 2022
Страниц: 169
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market.
  • Добавил: literator
  • Дата: 18-10-2022, 12:19
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Terraform Cookbook: Recipes for Codifying Infrastructure (2nd Early Release)Название: Terraform Cookbook: Recipes for Codifying Infrastructure (2nd Early Release)
Автор: Kerim Satirli, Taylor Dolezal
Издательство: O’Reilly Media, Inc.
Год: 2022-10-17
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

If you want to save time and avoid pitfalls when working with Terraform and the HashiCorp Configuration Language (HCL), this easy-to-use cookbook gives you battle-tested, step-by-step recipes to help you deploy with confidence across all of your infrastructure stacks. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Terraform comes standard with an extensive library of built-in functions. Available in any Terraform file (including modules) and the Terraform Console, functions can validate, combine format, and transform data. Functions are integral to creating reusable and less error-prone infrastructure by allowing for a more complex definition of your infrastructure as code.
  • Добавил: literator
  • Дата: 17-10-2022, 20:33
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Python for Finance and Algorithmic Trading, 2nd EditionНазвание: Python for Finance and Algorithmic Trading, 2nd Edition
Автор: Lucas Inglese
Издательство: Quantreo
Год: 2022
Страниц: 325
Язык: английский
Формат: epub, mobi
Размер: 10.8 MB

The book presents the benefits of portfolio management, statistics and machine learning applied to live trading with MetaTrader™ 5. This second version has allowed us to tweak some points of the existing chapters but especially to add 3 new chapters based on your feedbacks of the first version. So I am proud to offer you 3 new chapters: "Advanced backtest methods", ”Features and target engineering" and ”From nothing to a live trading bot". The financial sector is undergoing significant restructuring. Traders and portfolio managers are increasingly becoming financial data scientists. Banks, hedge funds, and fintech are automating their investments by integrating Machine Learning and Deep Learning algorithms into their decision-making process. This book presents the benefits of portfolio management, statistics, and Machine Learning applied to live trading with MetaTrader 5. We will talk about the deep neural network DNN, or artificial neural network ANN. Deep learning is a field of Machine Learning which uses the most powerful algorithms.
  • Добавил: literator
  • Дата: 17-10-2022, 20:10
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Bayesian Analysis with Excel and R (Rough Cuts)Название: Bayesian Analysis with Excel and R (Rough Cuts)
Автор: Conrad G. Carlberg
Издательство: Pearson Education, Inc.
Год: 2023
Страниц: 185
Язык: английский
Формат: epub (true), mobi
Размер: 15.8 MB

ing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excel’s Bayesian capabilities and move toward R to do even more. Step by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. Carlberg clarifies terminology that often bewilders analysts, provides downloadable Excel workbooks you can easily adapt to your own needs, and offers sample R code to take advantage of the rethinking package in R and its gateway to Stan. As you incorporate these Bayesian approaches into your analytical toolbox, you’ll build powerful competitive advantage for your organization-and yourself.
  • Добавил: literator
  • Дата: 17-10-2022, 15:28
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWS (MEAP v7)Название: Amazon Web Services in Action, Third Edition: An in-depth guide to AWS (MEAP v7)
Автор: Andreas Wittig, Michael Wittig
Издательство: Manning Publications
Год: 2022
Страниц: 407
Язык: английский
Формат: pdf (true)
Размер: 39.3 MB

This bestselling guide reveals best practices for security, high availability, and scalability on AWS, the world’s most popular cloud. It’s packed with techniques for automating your deployment, management, and even your infrastructure using Infrastructure as Code. Amazon Web Services in Action: An in-depth guide to AWS has helped thousands of developers succeed with the AWS cloud. This hands-on guide gives a complete introduction to computing, storage, and networking, along with best practices for all core AWS services.
  • Добавил: literator
  • Дата: 17-10-2022, 15:22
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Elasticsearch in Action, Second Edition (MEAP v11)Название: Elasticsearch in Action, Second Edition (MEAP v11)
Автор: Madhusudhan Konda
Издательство: Manning Publications
Год: 2022
Страниц: 511
Язык: английский
Формат: pdf (true)
Размер: 17.0 MB

Build powerful, production-ready search applications using the incredible features of Elasticsearch. Elasticsearch in Action, Second Edition is a hands-on guide to developing fully functional search engines with Elasticsearch and Kibana. Rewritten for the latest version of Elasticsearch, this completely new second edition explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs.
  • Добавил: literator
  • Дата: 17-10-2022, 15:17
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Learning Using Python: How to Build Applied Machine Learning SolutionsНазвание: Learning Using Python: How to Build Applied Machine Learning Solutions
Автор: Reed Cartwright
Издательство: Independently published
Год: 2022
Страниц: 457
Язык: английский
Формат: pdf
Размер: 43.6 MB

Many market professionals consider unsupervised learning the following frontier in Artificial Intelligence, one that might hold the secret to the holy grail in AI study, the so called general expert system. Considering that the majority of the world's data is unlabeled, traditional supervised knowing can not be applied; this is where without supervision knowing can be found in. Without supervision understanding can be related to unlabeled datasets to find significant patterns hidden deep in the data, patterns that may be near difficult for humans to uncover. Author gives sensible understanding on exactly how to use not being watched understanding making use of two basic, production prepared Python structures scikit learn and also TensorFlow utilizing Keras.
  • Добавил: literator
  • Дата: 17-10-2022, 13:07
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MATLAB Medical Imaging Toolbox User's Guide (R2022b)Название: MATLAB Medical Imaging Toolbox User's Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: 2022
Страниц: 144
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

Medical Imaging Toolbox provides apps, functions, and workflows for designing and testing diagnostic imaging applications. You can perform 3D rendering and visualization, multimodal registration, and segmentation and labeling of radiology images. The toolbox also lets you train predefined Deep Learning networks (with Deep Learning Toolbox).
  • Добавил: literator
  • Дата: 16-10-2022, 11:45
  • Комментариев: 0
Deep Learning for Healthcare Decision MakingНазвание: Deep Learning for Healthcare Decision Making
Автор: Vishal Jain, Jyotir Moy Chatterjee
Издательство: River Publishers
Год: 2022
Страниц: 312
Язык: английский
Формат: pdf (true)
Размер: 30.2 MB

Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of Deep Learning (DL) frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable Artificial Intelligence (AI), Deep Learning frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients’ lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective Deep Learning algorithms.
  • Добавил: Chipa
  • Дата: 15-10-2022, 15:59
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Название: HTML Academy: Паттерны проектирования
Автор: Коллектив
Издательство: HTML Academy
Год: 2022
Формат: HTML
Страниц: Много
Размер: 282 Mb
Язык: Русский

Вы научитесь применять проверенные архитектурные подходы при создании программ. Вы узнаете, как применять паттерны в разработке алгоритмов разного направления, начиная от интерфейса веб-приложения и заканчивая серверной частью мобильного приложения.