Название: The A.I. Marketer (Artificial Intelligence)
Автор: Andrew W. Pearson
Издательство: Independently published
Серия: Artificial Intelligence (Book 1)
Год: 2019
Страниц: 432
Язык: английский
Формат: azw3, epub
Размер: 10.5 MB

We seem to be living in the age of A.I. Everywhere you look, companies are touting their most recent A.I., machine learning, and deep learning breakthroughs, even when they are far short of anything that could be touted as a “breakthrough.” “A.I.” has eclipsed “Blockchain” and “Crypto” as the buzzword of today. Indeed, one of the best ways to raise VC funding is to stick ‘AI’ or ‘ML’ at the front of your prospectus and “.ai” at the end of your website. Separating fact from fiction is more important than it has ever been. The A.I. Marketer breaks down A.I., machine learning, and deep learning into five unique use cases—sound, time series, text, image, and video—and also reveals how marketing executives can utilize this powerful technology to help them more finely tune their marketing campaigns, better segment their customers, increase lead generation, and foster strong customer loyalty.

Название: Understanding JPA 2.2: Java Persistence API (agoncal fascicle)
Автор: Antonio Goncalves
Издательство: Independently published
Год: 2019
Страниц: 247
Язык: английский
Формат: epub, pdf (conv)
Размер: 12.4 MB

Applications are made up of business logic, interaction with other systems, user interfaces etc. and data. Most of the data that our applications manipulate have to be stored in datastores, retrieved, processed and analysed. If this datastore is a relational database and you use an object-oriented programming language such as Java, then you should have a look at JPA. JPA is an Object-Relational Mapping tool that maps Java objects to relational databases and allows query operations. In this fascicle, you will learn Java Persistence API, its annotations for mapping entities, as well as the Java Persistence Query Language and entity life cycle and a few advanced topics such as integrating JPA with other frameworks (Bean Validation, JTA, CDI, Spring).

Название: Real-World Algorithms: A Beginner's Guide
Автор: Panos Louridas
Издательство: The MIT Press
Год: 2017
Страниц: 527
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks?usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve. The algorithms are presented in pseudocode and can readily be implemented in a computer language.

Название: AngularJS, javascript, and jQuery All in One
Автор: Brad Dayley; Brendan Dayley
Издательство: Sams Publishing
Год: 2015
Формат: EPUB
Размер: 51 Мб
Язык: английский / English

In just a short time, you can learn the basics of the javascript language, jQuery library, and AngularJS framework – and find out how to use them to build well-designed, reusable components for web applications. Sams Teach Yourself AngularJS, javascript, and jQuery All in One assumes absolutely no previous knowledge of javascript or jQuery. The authors begin by helping students gain the relevant javascript skills they need, introducing javascript in a way specifically designed for modern AngularJS web development.

Название: Vue.js: Understanding its Tools and Ecosystem
Автор: Dave Berning
Издательство: Bleeding Edge Press
Год: 2018
Страниц: 218
Язык: английский
Формат: epub
Размер: 10.1 MB

With this book, you will get a crash course on the main Vue.js library to first understand it’s main concepts and syntax. Although prior Vue.js experience is not needed, it is recommended. This book covers all of the important tools and ecosystem, and these most of these tools have been created by the Core Team and some from its Community Partners. The Vue framework has grown so much that major companies and organizations like Nintendo, NASA, Expedia, Netflix, and even Facebook (for their Newsfeed) have fully adopted or partially integrated it into their products or services.

Название: Professional Red Teaming: Conducting Successful Cybersecurity Engagements
Автор: Jacob G. Oakley
Издательство: Apress
Год: 2019
Страниц: 215
Язык: английский
Формат: pdf (true), epub
Размер: 30.4 MB

Use this unique book to leverage technology when conducting offensive security engagements. You will understand practical tradecraft, operational guidelines, and offensive security best practices as carrying out professional cybersecurity engagements is more than exploiting computers, executing scripts, or utilizing tools.
Professional Red Teaming introduces you to foundational offensive security concepts. The importance of assessments and ethical hacking is highlighted, and automated assessment technologies are addressed. The state of modern offensive security is discussed in terms of the unique challenges present in professional red teaming.

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.