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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...

Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Daniel Arbuckle's Mastering Python
Daniel Arbuckle's Mastering Python

Key Features

  • Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
  • Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
  • Get introduced to the mechanism for rewriting code in a...
Cloud and Fog Computing in 5G Mobile Networks: Emerging Advances and Applications (Iet Telecommunications)
Cloud and Fog Computing in 5G Mobile Networks: Emerging Advances and Applications (Iet Telecommunications)

Now diffused among end-user devices in mobile and wireline networks, the "cloud" is becoming the "fog." This book focuses on the challenges and solutions related to cloud and fog computing for 5G mobile networks and presents novel approaches to the frameworks and schemes that carry out storage, communication, computation,...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

A Brief History of Computing
A Brief History of Computing
The history of computing has its origins at the outset of civilization. As towns and communities evolved there was a need for increasingly sophisticated calculations. This book traces the evolution of computation, from early civilisations 3000 B.C. to the latest key developments in modern times.

This useful and lively text provides a...

Python Unlocked
Python Unlocked

Key Features

  • Write smarter, bug-free, high performance code with minimal effort
  • Uncover the best tools and options available to Python developers today
  • Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively

Book...

Proofs and Algorithms: An Introduction to Logic and Computability (Undergraduate Topics in Computer Science)
Proofs and Algorithms: An Introduction to Logic and Computability (Undergraduate Topics in Computer Science)

Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true, such as reasoning and computation.

Proofs and Algorithms: Introduction to Logic and Computability is an introduction to the fundamental concepts of contemporary logic - those of a
...

MATLAB Linear Algebra
MATLAB Linear Algebra

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

MATLAB Differential and Integral Calculus
MATLAB Differential and Integral Calculus

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Computing and Philosophy: Selected Papers from IACAP 2014 (Synthese Library)
Computing and Philosophy: Selected Papers from IACAP 2014 (Synthese Library)

This volume offers very selected papers from the 2014 conference of the “International Association for Computing and Philosophy” (IACAP) - a conference tradition of 28 years. The theme of the papers is the two-way relation between computing technologies and philosophical questions: Computing technologies both raise new...

MATLAB Symbolic Algebra and Calculus Tools
MATLAB Symbolic Algebra and Calculus Tools

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

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