Название: Effective Python Development for Biologists: Tools and techniques for building biological programs
Автор: Dr. Martin Jones
Издательство: CreateSpace Independent Publishing Platform
ISBN: 153910303X
Год: 2016
Страниц: 296
Язык: английский
Формат: pdf, djvu +code
Размер: 10.07 MB

Python is rapidly becoming the standard language for many talks in scientific research, and is particularly popular in biology and bioinformatics. One of the great strengths of Python is the ecosystem of tools and libraries that have grown up around it.
This book introduces the novice biologist programmer to tools and techniques that make developing Python code easier and faster and will help you to write more reliable, performant programs. Written by a biologist, it focusses on solving the problems that students and researchers encounter every day

Название: Statistical Data Cleaning with Applications in R
Автор: Mark van der Loo, Edwin de Jonge
Издательство: Wiley
ISBN: 1118897153
Год: 2018
Страниц: 320
Язык: английский
Формат: pdf, rtf, djvu
Размер: 10.5 MB

A comprehensive guide to automated statistical data cleaning. The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy.

Название: Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
Автор: Ankur A. Patel
Издательство: O’Reilly Media, Inc.
Год: 2019
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.2 MB

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover.

Название: Simple Deep Learning for Programmers: Write your own modern neural networks in Keras and Python for images and sequence data
Автор: Lazy Programmer
Издательство: Amazon Digital Services LLC
ASIN: B07GTT616W
Год: 2018
Язык: английский
Формат: epub, azw3, rtf, pdf (conv)
Размер: 10.18 MB

Want to learn deep learning and AI, but hate math? This book is an experiment for me. After years of teaching successful deep learning and machine learning courses online, I’ve come to notice a few patterns. One of them is that a large subset of students just RUN AWAY at the sight of math. This is somewhat problematic since machine learning is essentially applied math (e.g. instead of just writing down equations you’re programming the equations into a computer in order to perform some useful task). This book is an experiment to see how well students can learn some of the basic concepts in deep learning, without having to do any math or theoretical work.

Название: The Virtual Mind: Designing the Logic to Approximate Human Thinking
Автор: Niklas Hageback
Издательство: Chapman and Hall/CRC
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2017
Страниц: 173
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

The Virtual Mind: Designing the Logic to Approximate Human Thinking, through an in-depth and multidisciplinary review, outlines and defines the underpinnings for modelling human thinking through approximating the mind. Whilst there are plenty of efforts underway trying to mimic the brain, its complexities have so far proven insurmountable. But replicating the abstract notion of the mind provides a viable and quicker route. Broadly, the mind consists of a conscious and an unconscious part with separate logic schemes and these absorbs reality in diverging chunks, with the former truncated through narratives and norms and the latter able to amass broader perceptions of reality. These are held together and controlled through a governing mechanism. With the replication and establishment of the mind’s mechanistic rules and dynamic constants, tested through a big data approach from public media, it allows for standardization and machine generated human thinking, a Virtual Mind.

Название: Architecture for Blockchain Applications
Автор: Xiwei Xu, Ingo Weber, Mark Staples
Издательство: Springer
Год: 2019
Страниц: 312
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book addresses what software architects and developers need to know in order to build applications based on blockchain technology, by offering an architectural view of software systems that make beneficial use of blockchains. It provides guidance on assessing the suitability of blockchain, on the roles blockchain can play in an architecture, on designing blockchain applications, and on assessing different architecture designs and tradeoffs. It also serves as a reference on blockchain design patterns and design analysis, and refers to practical examples of blockchain-based applications.

Название: Domain-Specific Knowledge Graph Construction
Автор: Mayank Kejriwal
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2019
Язык: английский
Формат: pdf (true), epub
Размер: 15.6 MB

In recent years, knowledge graphs (KGs) have emerged as a major area in Artificial Intelligence (AI). Graphs have always been pervasive in the broader AI literature, but with the advent of large quantities of data on the Web ("Big Data") and in the broader commercial sphere, there emerged a need to enable machines to ‘understand’ and make use of this data in some productive analytical way. The inability of machines to truly understand English, and other ‘natural’ languages like it, with all their irregularities and nuances, has also been largely evident in the (unsuccessful) quest to achieve general AI and commonsense reasoning.

Название: MQL5 programming language. Advanced use of the trading platform MetaTrader 5. Second Edition, Revised & Updated
Автор: Timur Mashnin
Издательство: Amazon Digital Services LLC
Год: 2019
Формат: azw3
Страниц: 277
Размер: 18.1 Mb
Язык: English

Development of indicators and advisors using the MQL5 programming language for the platform MetaTrader 5

Название: Программирование. Принципы и практика использования C++
Автор: Страуструп Бьярн
Издательство: Вильямс
Год: 2011
Страниц: 1235
Формат: djvu
Размер: 27,97 мб
Качество: хорошее
Язык: русский

Автор книги полагает, что читатели в конце концов начнут писать нетривиальные программы либо в качестве профессиональных разработчиков программного обеспечения, либо в качестве программистов, работающих в других областях науки и техники.
Основные концепции и методы программирования в книге излагаются глубже, чем это принято в традиционных вводных курсах. Это позволит читателям разрабатывать полезные, правильные, понятные и эффективные программы.Книга представляет собой введение в программирование вообще, включая объектно-ориентированное и обобщенное программирование.

Название: Easy Learning Data Structures & Algorithms ES6+javascript: Classic data structures and algorithms in ES6+ javascript
Автор: Yang Hu
Издательство: Independently published
Год: 2019
Страниц: 218
Язык: английский
Формат: epub, pdf (conv)
Размер: 19.85 MB

Поймите структуры данных и связанные с ними алгоритмы, а также контекст, в котором они используются.
Освойте существующие структуры данных javascript, такие как массив, набор и отображение, и узнайте, как реализовать новые, такие как стеки, связанные списки, деревья и графики. Все концепции объясняются простым способом, а затем приводятся примеры на ECMAScript 6 (ES6) и javascript.