Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

• Get up and running with the Jupyter ecosystem and some example datasets
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• Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
• Implement CNN models on image classification, transfer learning, Object Detection,...

• Build web APIs from start to finish using JavaScript across the development...

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

This is the first book to combine image and video processing with a practical MATLAB^®-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal...

Node.js in Action is an example-driven tutorial that starts at square one and guides you through all the features, techniques, and concepts you'll need to build production-quality Node applications. You'll start by learning how to set up your Node development environment, including loading...