Learn IT - Books tags foundations

JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals

Apress, 2019

The motivation for writing this book was the lack of resources available about data structures and algorithms written in JavaScript. This was strange to me because today many of the job opportunities for software development require knowledge of JavaScript; it is the only language that can be used to write the entire...

Algorithmic Number Theory, Vol. 1: Efficient Algorithms (Foundations of Computing)

MIT Press, 1996

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section...

Philosophy and Computer Science (Explorations in Philosophy)

Routledge, 1999

Colburn (computer science, U. of Minnesota-Duluth) has a doctorate in philosophy and an advanced degree in computer science; he's worked as a philosophy professor, a computer programmer, and a research scientist in artificial intelligence. Here he discusses the philosophical foundations of artificial intelligence; the new encounter of...

Data Mining: Foundations and Practice (Studies in Computational Intelligence)

Springer, 2008

The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two...

Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Packt Publishing, 2018

Create AI applications in Python and lay the foundations for your career in data science

Key Features

Practical examples that explain key machine learning algorithms

Explore neural networks in detail with interesting examples

Master core AI concepts with...

Mastering Go: Create Golang production applications using network libraries, concurrency, and advanced Go data structures

Packt Publishing, 2018

Exploring the major features and packages of Go, along with its types and data-structures, enabling the reader to write threadsafe, concurrent cloud, and network applications

Key Features

Not your typical introduction to the Golang programming language

Exploring Golang...

Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science and Data Analysis)

CRC Press, 2013

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical...

Distributed Computing with Go: Practical concurrency and parallelism for Go applications

Packt Publishing, 2018

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features.

Key Features

This book provides enough concurrency theory to give you a contextual understanding of Go concurrency

It gives weight to synchronous and asynchronous data...

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

O'Reilly, 2018

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Foundations of Libvirt Development: How to Set Up and Maintain a Virtual Machine Environment with Python

Apress, 2019

Discover the essential concepts of libvirt development and see how to interface to Linux virtualization environments, such as QEMU/KVM, XEN, Virtuozzo, VMWare ESX, LXC, Bhyve, and more. This book will prepare you to set up and maintain a virtual machine environment.

You'll start by reviewing...

Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Packt Publishing, 2018

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

Learn the fundamentals of Python programming with interactive projects

Apply Python to data...

Algorithms and Data Structures in Vlsi Design: Obdd - Foundations And Applications

Springer, 1998

One of the main problems in chip design is the enormous number of possible combinations of individual chip elements within a system, and the problem of their compatibility. The recent application of data structures, efficient algorithms, and ordered binary decision diagrams (OBDDs) has proven vital in designing the computer chips of tomorrow....

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