• Assimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications
• Know in and out of blockchain technology to understand various business use...

• Learn quick, effective, and easy ways to master blockchain and Bitcoin
• Understand the impact of decentralization and discover ways to tackle it
• Explore the future of Bitcoin...

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...

• 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...

• 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,...

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

• Make the most of Python libraries and modules to automate your infrastructure
• Leverage Python programming to automate server configurations and administration tasks
• Efficiently...

The purpose of this book is first to study cloud computing concepts, security concern in clouds and data centers, live migration and its importance for cloud computing, the role of firewalls in domains with particular focus on virtual machine (VM) migration and its security concerns. The book then tackles design, implementation of...

• Learn how to write Unix and Linux system code in Golang v1.12
• Perform inter-process communication using pipes, message...