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Big data : a primer

Tác giả: Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the ...

Hands-On machine learning with scikit-learn, keras, and tensorFlow : concepts, tools, and techniques to build intelligent systems : 2nd ed

Tác giả: Aurélien Géron

By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple ...

Deep learning

Tác giả: Ian Goodfellow, Yoshua Bengio, and Aaron Courville

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, ...

Embedded systems : real-time interfacing to the ARM® CORTEX(TM)-M microcontrollers

Tác giả: Jonathan W Valvano

Th Introduction to ARM Cortex-M Microcontrollers is an introduction to computers and interfacing focusing on assembly language and C programming. This second book focuses on interfacing and system-level design. The third book Embedded Systems: Real-Time Operating Systems for ARM Cortex-M ...

Software testing : 4th ed.

Tác giả: Paul C. Jorgensen

The fourth edition of the widely adopted text and reference book is completely revised and updated and features a new section on Life Cycle-Based Testing. New chapters cover Software Complexity and Mutation Testing and Error Seeding. The text still provides a solid mathematical background in ...