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Название: Marketing Analytics: Optimize Your Business with Data Science in R, Python, and SQL
Автор: Dave Jacobs
Издательство: Dave Jacobs
Год: 2016
Страниц: 164
Язык: английский
Формат: pdf
Размер: 14.5 MB

Is the term “marketing analytics” unclear to you? Do you want to discover methodologies that will help maximize your marketing efforts? Are you familiar with marketing analytics methodologies but don’t know R, Python, or SQL? If so, then this book is for you. This book will help you to go from zero knowledge of any of these three languages to having a solid grasp of each.

Название: Coding Games With Pygames Zero
Автор: Richard Smith
Издательство: EpubPress
Год: 2020
Формат: EPUB, PDF, DOC
Страниц: 101
Размер: 10 Mb
Язык: English

This book contains all the example programs used in my CoderDojo class to teach Python programming. The primary goal of the class is to teach programming using action games to make learning more interesting. Some of the examples are entirely focused on introducing new language concepts or showing how the Pygame Zero API works, but most are a mixture of both.
The intention is that each program in the example chapters is brief, complete and introduces only one or two new concepts.

Название: Brief C++: Late Objects, Third Edition
Автор: Cay S. Horstmann
Издательство: Wiley
Год: 2020
Формат: True PDF
Страниц: 528
Размер: 10 Mb
Язык: English

Brief C++: Late Objects, 3rd Edition focuses on the essentials of effective learning and is suitable for a two-semester introduction to programming sequence. The interactive eText requires no prior programming experience and only a modest amount of high school algebra. It provides an approachable introduction to fundamental programming techniques and design skills, helping students master basic concepts and become competent coders.

Название: Python For Data Science For Dummies, Second Edition
Автор: John Paul Mueller, Luca Massaron
Издательство: Wiley
Год: 2019
Формат: EPUB
Размер: 11,21 MB
Язык: English

The fast and easy way to learn Python programming and statistics

Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.
Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.

Название: Data Science and Big Data Analytics
Автор: Editors: Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal
Издательство: Springer
Год: 2019
Формат: PDF
Страниц: 418
Размер: 15.22 MB
Язык: English

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems.

Автор: Gaurav Vaish
Название: High Performance iOS Apps: Optimize Your Code for Better Apps
Издательство: O'Reilly Media
Год: 2016
ISBN: 9781491911006
Язык: English
Формат: pdf
Размер: 38,3 mb
Страниц: 464

Ready to build mobile apps that out-perform the rest? If you’re an iOS developer with app-building experience, this practical guide provides tips and best practices to help you solve many common performance issues. You’ll learn how to design and optimize iOS apps that deliver a smooth experience even when the network is poor and memory is low.

Название: Линейное программирование в Матлабе. Универсальные линпрогоптимизаторы: производительность и табличный формат результата. Задания и задачи
Автор: Рыкин О.Р.
Издательство: Изд-во Политехнического ун-та
Год: 2016
Страниц: 208
Формат: doc
Размер: 23 mb

В монографии предложены усовершенствованные и развитые программные инструменты (13 объектов) решения непараметрических и однопараметрических задач линпрогоптимизации. Они обеспечивают многократное повышение операторской производительности, создание времянезависимой связи результата и условий оптимизации при решении множества задач, выдачу результата в таблице офисного формата, автоматическое создание базы результатов линпрогоптимизации, возможность простой коррекции условий оптимизации в случае начального неуспеха. Показаны примеры применения каждого инструмента, в том числе для некоторых – решение задач с размерностью оптимизационного вектора в 5000 и 7000 элементов. Приведены правила настройки и указания по применению. Инструменты созданы на основе матлабовской функции linprog(…) с использованием команд Матлаба, описание которых приведено в приложении.

Название: Fundamentals of Optimization Theory With Applications to Machine Learning
Автор: Jean Gallier, Jocelyn Quaintance
Издательство: Jean Gallier
Год: 2019
Формат: PDF
Страниц: 832
Размер: 13 Mb
Язык: English

In recent years, computer vision, robotics, machine learning, and data science have been some of the key areas that have contributed to major advances in technology. Anyone who looks at papers or books in the above areas will be baffled by a strange jargon involving exotic terms such as kernel PCA, ridge regression, lasso regression, support vector machines (SVM), Lagrange multipliers, KKT conditions, etc.

Название: Calculated Surprises. A Philosophy of Computer Simulation
Автор: Johannes Lenhard
Издательство: Oxford University Press
Год: 2019
Формат: pdf
Страниц: 273
Размер: 14 Мб
Язык: английский

If all philosophy starts with wondering, then Calculated Surprises starts with wondering about how computers are changing the face and inner workings of science. In this book, Lenhard concentrates on the ways in which computers and simulation are transforming the established conception of mathematical modeling. His core thesis is that simulation modeling constitutes a new mode of mathematical modeling that rearranges and inverts key features of the established conception. Although most of these new key features--such as experimentation, exploration, or epistemic opacity--have their precursors, the new ways in which they are being combined is generating a distinctive style of scientific reasoning. Lenhard also documents how simulation is affecting fundamental concepts of solution, understanding, and validation. He feeds these transformations back into philosophy of science, thereby opening up new perspectives on longstanding oppositions.

Название: Neuromorphic Computing and Beyond. Parallel, Approximation, Near Memory, and Quantum
Автор: Mohamed Khaled Salah
Издательство: Springer
Год: 2020
Формат: pdf
Страниц: 241
Размер: 10 Мб
Язык: английский

Introduces in one volume all the trends that can be used to overcome Moore’s law limitations. Describes in detail Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing concepts, in a manner accessible to a wide variety of readers. Compares tradeoffs between the various paradigms discussed