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  • Добавил: literator
  • Дата: 14-04-2020, 18:31
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Python Programming For Beginners: The Simplified Beginner’s Guide To Learn Basics Python Computer Language, coding project, data science, data analytics and learn machine learning. Exercises insideНазвание: Python Programming For Beginners: The Simplified Beginner’s Guide To Learn Basics Python Computer Language, coding project, data science, data analytics and learn machine learning. Exercises inside
Автор: Matthew Python
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 183
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

Python is a powerful programming language, serving a large number of purposes. Python is a very simple programming language, with easy syntax. It is a free and open-source programming language and it is a very good programming language for beginners, especially for those who are interested to learn computer programming for the very first time. The most convenient part about the language is that it can run on a variety of platforms like Windows, Linux and macOS. The ease with which it can be used has also helped it to be easily ported to the Java and .NET virtual machines.
  • Добавил: literator
  • Дата: 14-04-2020, 18:11
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Python for Data Analysis: A Complete Step By Step From Intermediate to Advanced Guide for Python Coding, NumPy, Pandas for Data Analysis. Improve Your Skills QuicklyНазвание: Python for Data Analysis: A Complete Step By Step From Intermediate to Advanced Guide for Python Coding, NumPy, Pandas for Data Analysis. Improve Your Skills Quickly
Автор: Dany Log
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

If you want to learn how to use python easily and quickly, then keep reading.Are you looking for a simple and efficient method that you can utilize that makes it easier than ever to go through all of that data you have been storing? Would you like to make some smart decisions, without all of the risks, to ensure that you are actually able to take control and beat out the competition in no time? How would it feel to be able to put all of this together and get the best results in the process?If all of these sound like they are the answers to your prayers, then working with a data analysis may be the best option for you. With data analysis, we are able to use a variety of algorithms, with the help of the Python coding language and machine learning
  • Добавил: buratino
  • Дата: 14-04-2020, 10:42
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Название: Minecraft Modding with Forge: A Family-Friendly Guide to Building Fun Mods in Java
Автор: Arun Gupta
Издательство: O'Reilly Media
Год: 2015
Формат: True PDF
Страниц: 193
Размер: 12.2 Mb
Язык: English

Playing Minecraft is a lot of fun, but the game is more engaging, entertaining, and educational when kids learn how to build mods—small programs that let them modify game elements and add content. This family-friendly guide teaches kids and parents how to create mods of different types, using the Minecraft Forge modding tool. No programming experience is needed.
  • Добавил: buratino
  • Дата: 14-04-2020, 09:13
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Название: The Art and Science of Machine Intelligence: With An Innovative Application for Alzheimer’s Detection from Speech
Автор: Walker H. Land Jr., J. David Schaffer
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 284
Размер: 32.8 Mb
Язык: English

This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application. One application, the detection of dementia from patterns in speech, is used throughout to illustrate these combinations. This application is a classic stationary pattern detection task, so readers may easily see how these combinations can be applied to other similar tasks. The expositions of the methods are supported by the basic theory they rest upon, and their application is clearly illustrated. The book’s goal is to allow readers to select one or more of these methods to quickly apply to their own tasks.
  • Добавил: TRex
  • Дата: 14-04-2020, 04:53
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Название: Practical Machine Learning in R 1st Edition
Автор: Fred Nwanganga, Mike Chapple
Издательство: Wiley
Год: 2020
Формат: PDF
Страниц: 464
Размер: 12 Mb
Язык: English

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language
Machine learning―a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions―allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process.
  • Добавил: literator
  • Дата: 14-04-2020, 04:24
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Compression & Encryption: Algorithms & Software (+code)Название: Compression & Encryption: Algorithms & Software
Автор: D. James Benton
Издательство: Independently published
Год: 2019
Страниц: 106
Язык: английский
Формат: pdf, rtf, epub +code
Размер: 10.1 MB

This book covers various algorithms for compression and encryption, some of which overlap, serving both purposes simultaneously. We will discuss why one algorithm works better for one case and not another as well as how different implementations are superior or more robust. All of the algorithms and code are presented in the C programming language and all are available free online.
  • Добавил: literator
  • Дата: 14-04-2020, 03:15
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Mathematical Theories of Machine Learning - Theory and ApplicationsНазвание: Mathematical Theories of Machine Learning - Theory and Applications
Автор: Bin Shi, S.S. Iyengar
Издательство: Springer
Год: 2020
Страниц: 138
Язык: английский
Формат: pdf (true), epub
Размер: 15.2 MB

This book studies mathematical theories of Machine Learning (ML). The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.
  • Добавил: admin
  • Дата: 14-04-2020, 00:52
  • Комментариев: 0
Название: Container Security: Fundamental Technology Concepts that Protect Containerized Applications First Edition
Автор: Liz Rice
Издательство: O’Reilly Media
Год: 2020-04-03
Формат: epub/pdf(conv.)
Страниц: 200
Размер: 10.6 Mb
Язык: English

To facilitate scalability and resilience, many organizations now run applications in cloud native environments using containers and orchestration. But how do you know if the deployment is secure? This practical book examines key underlying technologies to help developers, operators, and security professionals assess security risks and determine appropriate solutions.
  • Добавил: buratino
  • Дата: 13-04-2020, 23:08
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Название: Quarkus Cookbook: Kubernetes Optimized Java Solutions (Early Release)
Автор: Alex Soto Bueno and Jason Porter
Издательство: O’Reilly Media
Год: 2020-04-13
Формат: epub/pdf(conv.)
Размер: 10.7 Mb
Язык: English

Optimized for Kubernetes, Quarkus is designed to help you create Java applications that are cloud first, container native, and serverless capable. With this cookbook, authors Alex Soto Bueno and Jason Porter from Red Hat provide detailed solutions for installing, interacting with, and using Quarkus in the development and production of microservices.
  • Добавил: buratino
  • Дата: 13-04-2020, 22:57
  • Комментариев: 0
Название: Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Rough Cuts)
Автор: Joanne Rodrigues
Издательство: Addison-Wesley
Год: 2020
Формат: epub
Размер: 12.6 Mb
Язык: English

Product Analytics bridges the divide between high-value business insights and today’s best statistics and machine learning techniques, offering practical qualitative and quantitative techniques to generate actionable insight into customer behavior.