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TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

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...

Penetration Testing Basics: A Quick-Start Guide to Breaking into Systems
Penetration Testing Basics: A Quick-Start Guide to Breaking into Systems
Learn how to break systems, networks, and software in order to determine where the bad guys might get in. Once the holes have been determined, this short book discusses how they can be fixed. Until they have been located, they are exposures to your organization. By reading Penetration Testing Basics, you'll...
Optimization Algorithms for Networks and Graphs
Optimization Algorithms for Networks and Graphs
A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which contemporary algorithm...
Algorithm Design: Foundations, Analysis and Internet Examples
Algorithm Design: Foundations, Analysis and Internet Examples
This book is designed to provide a comprehensive introduction to the design and analysis of computer algorithms and data structures. In terms M the computer science and computer engineering curricula, we have written this book to be primarily focused on the Junior-Senior level Algorithms (CS7) course, which is taught as a...
Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging (Lecture Notes in Computational Vision and Biomechanics)
Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging (Lecture Notes in Computational Vision and Biomechanics)
Digital geometry emerged as an independent discipline in the second half of the last century. It deals with geometric properties of digital objects and is developed with the unambiguous goal to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing. Different aspects...
Computer Science Distilled: Learn the Art of Solving Computational Problems
Computer Science Distilled: Learn the Art of Solving Computational Problems

A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It...

Cloud Computing Security: Foundations and Challenges
Cloud Computing Security: Foundations and Challenges
This handbook offers a comprehensive overview of cloud computing security technology and implementation, while exploring practical solutions to a wide range of cloud computing security issues. With more organizations using cloud computing and cloud providers for data operations, proper security in these and other potentially vulnerable areas...
Elements of Programming
Elements of Programming
Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language,...
Algorithms and Data Structures for External Memory (Foundations and Trends(r) in Theoretical Computer Science)
Algorithms and Data Structures for External Memory (Foundations and Trends(r) in Theoretical Computer Science)
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. Algorithms and Data Structures for External Memory surveys the state of...
Einstein in Matrix Form: Exact Derivation of the Theory of Special and General Relativity without Tensors
Einstein in Matrix Form: Exact Derivation of the Theory of Special and General Relativity without Tensors

This book is an introduction to the theories of Special and General Relativity. The target audience are physicists, engineers and applied scientists who are looking for an understandable introduction to the topic - without too much new mathematics. The fundamental equations of Einstein's theory of Special and General Relativity are...

Secure Java: For Web Application Development
Secure Java: For Web Application Development

Most security books on Java focus on cryptography and access control, but exclude key aspects such as coding practices, logging, and web application risk assessment. Encapsulating security requirements for web development with the Java programming platform, Secure Java: For Web Application Development covers secure...

Geometric Algebra: An Algebraic System for Computer Games and Animation
Geometric Algebra: An Algebraic System for Computer Games and Animation

In my first book on geometric algebra in 2007 the preface described how I had been completely surprised by the existence of geometric algebra, especially after having recently completed a book on vector analysis where it was not even mentioned! So why am I writing a second book on the same subject?Well it’s not because I have...

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