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...

The overall...

• Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
• Combine the power of Python, Keras, and TensorFlow to...

• Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level...

• Explore reinforcement learning concepts and their implementation using TensorFlow
• Discover different problem-solving methods for reinforcement...

Discover how a software engineer can leverage Docker in order to expedite development velocity. This book focuses on the fundamental concepts this program is built upon and explores how it can help you get your services up and running inside Docker containers. You'll also review tips on how to debug microservices applications...

• Get the most out of the Kotlin library to develop high-quality portable applications
• Explore the powerful support for data processing and I/O...

• Understand the Ethereum Ecosystem and its differences from its rich cousin Bitcoin
• Explore the Solidity programming language and smart contract optimizations
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• Explore a variety of AI projects with Python
• Get well-versed with different types of neural networks and popular deep learning algorithms
• Leverage popular...

• Enter the world of artificial intelligence using the power of Python
• An example-rich guide to master various RL and DRL algorithms
• Explore...