Intel Books

With the big data boom, the rise of the Internet of Things (IoT), and the development of artificial intelligence (AI) applications, we've entered a new era of smart data. Unfortunately, not many enterprises are ready for it. Some companies are deficient in data management, while others lack standard data engineering systems. Some simply lag behind

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple acc

Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have include

How can you ensure that your data is in optimal condition to support your specific business initiatives and operations? With this report from AWS, C-suite executives, including CDOs, CAOs, CISOs, and CSOs, will gain insights on how a targeted approach to data governance can enhance data curation, discovery, protection, and sharing capabilities. Our

A modern practical book about cryptography for developers with code examples, covering core concepts like: hashes (like SHA-3 and BLAKE2), MAC codes (like HMAC and GMAC), key derivation functions (like Scrypt, Argon2), key agreement protocols (like DHKE, ECDH), symmetric ciphers (like AES and ChaCha20, cipher block modes, authenticated encryption,

Games have long been excellent benchmarks for AI algorithms for two reasons. Initially, games are developed to assess and challenge human intelligence, and the variety of games can provide a rich context for evaluating different cognitive and decision-making abilities. Secondly, addressing complex real-world challenges often requires repeated trial

The current period of progress in artificial intelligence was triggered when Krizhevsky et al. demonstrated that an artificial neural network designed twenty years earlier could outperform complex state-of-the-art image recognition methods by a huge margin, simply by being a hundred times larger and trained on a dataset similarly scaled up. This br

This open access book contains eight chapters that deal with database technologies, including the development history of database, database fundamentals, introduction to SQL syntax, classification of SQL syntax, database security fundamentals, database development environment, database design fundamentals, and the application of Huawei's cloud data

The System Center Operations Manager data warehouse stores many objects, making it possible to report on performance, availability, configuration, and security. You can use data collected by Operations Manager for issue tracking, awareness, planning, and forecasting, all of which are important factors for maintaining and managing your environment.

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of phys