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Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app.

Build and deploy powerful neural network models using the latest Java deep learning libraries.

Computers have gained a cardinal place in modern societies, thanks to higher efficiencies and miniaturisation. However, their dramatic progress will soon have to stop as the limits of miniaturisation are being reached. Furthermore, few people realise that those computers are, in fact, not as powerful as they seem to be. And while the world champion at Go lost to a computer, an average human still beats a computer at relatively easy tasks such as recognising an object in a picture. Artificial intelligence is the key to more versatile computing machines capable of solving such challenging tasks.

Handbook of Neural Computation explores neural computation applications, including image and speech recognition, neural language processing, etc.

A Practical Introduction to the world of Machine Learning and Image Processing using Python and OpenCV

本书以独特的方式全面地讲述了C语言（C89和C99）的基本概念和编程知识。面向初学者，对基本概念详尽透彻的剖析，强调良好的编程习惯和风格，结合软件工程、软件测试的基本理念介绍编程知识，是本书的主要特色。

用python和Arduino 來編程Internet of Things. The Arduino platform was introduced to simplify electronic hardware prototyping for everyone. For this reason, Arduino programming was intended to be easy to learn by nonprogrammers such as designers, artists, and students. The Arduino language is implemented in C/C++, while the fundamentals of the sketch and program structures are derived from an open source programming language called Processing and an open source electronic prototyping language called Wiring.