Компьютерное Железо

Различные книги в жанре Компьютерное Железо

20 простых проектов на Raspberry Pi

Руи Сантос

Эта книга подходит для всех новичков, которые хотят максимально использовать возможности Raspberry Pi, будь то дети, мечтающие открыть для себя мир электроники и программирования, родители и педагоги, желающие им помочь, или же любители и изобретатели, намеревающиеся с помощью Raspberry Pi воплотить свои идеи в жизнь. Мы совсем не предполагаем, что вы знакомы с Raspberry Pi и к тому же разбираетесь в схемотехнике или программировании. Этому вы научитесь, прочитав книгу. Но если у вас уже есть некоторые базовые навыки, то эта книга поможет развить их и дать вам идеи, что делать дальше.

1st Grade Computer Basics : The Computer and Its Parts

Baby Professor

There's no escaping the fact that we are heading towards a tech-dominated future. It is, therefore, of great importance that your child is able to follow the times. This educational book features the basics of computers. Here, your child will learn about the computer parts and what their uses are. Grab a copy today!

Evernote Essentials Guide (Boxed Set)

Speedy Publishing

In this day and age, everyone has a seemingly endless number of website passwords to remember, but Evernote is a great tool to help you keep everything in an accessible place, no matter what computer you are using. Many people keep these organized on a flash drive, but what if forget it and aren't at home? With Evernote, no matter what computer you are using, you can have access to all of your files, including the all important document where you keep your passwords and much more!

Statistical Relational Artificial Intelligence

Luc De Raedt

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty.

Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations.

The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

Bad to the Bone

Steven Barrett

Metric Learning

Aurelien Bellet

Pervasive Displays

Sarah Clinch