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Linear Algebra and Probability for Computer Science Applications
Linear Algebra and Probability for Computer Science Applications

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
Hands-On Data Structures and Algorithms with JavaScript: Write efficient code that is highly performant, scalable, and easily testable using JavaScript
Hands-On Data Structures and Algorithms with JavaScript: Write efficient code that is highly performant, scalable, and easily testable using JavaScript

Increase your productivity by implementing complex data structures and algorithms using JavaScript

Key Features

  • A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental JavaScript data structures
  • Get a better...
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Introduction to Machine Learning with R: Rigorous Mathematical Analysis

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more...

Learning Agile: Understanding Scrum, XP, Lean, and Kanban
Learning Agile: Understanding Scrum, XP, Lean, and Kanban
Learning Agile is a comprehensive guide to the most popular agile methods, written in a light and engaging style that makes it easy for you to learn.

Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to "go agile"
...
Global Networking, Communication and Culture: Conflict or Convergence?: Spread of ICT, Internet Governance, Superorganism Humanity and Global Culture (Studies in Systems, Decision and Control)
Global Networking, Communication and Culture: Conflict or Convergence?: Spread of ICT, Internet Governance, Superorganism Humanity and Global Culture (Studies in Systems, Decision and Control)
Pursuing an interdisciplinary approach, this book offers detailed insights into the empirical relationships between overall social key figures of states and cultures in the fields of information and communication technology (ICT) (digital divide/inequality), the economy, education and religion. Its goal is to bridge the ‘cultural...
Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing)
Distances and Similarities in Intuitionistic Fuzzy Sets (Studies in Fuzziness and Soft Computing)

This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers with a comprehensive set of theoretical...

Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications (Control Engineering)
Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications (Control Engineering)
It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is...
The Complete Idiot's Guide to Statistics, 2nd Edition
The Complete Idiot's Guide to Statistics, 2nd Edition
Statistics, statistics everywhere, but not a single word can we understand! Actually, understanding statistics is a critically important skill that we all need to have in this day and age. Every day, we are inundated with data about politics, sports, business, the stock market, health issues, financial matters, and many other topics....
SIP Trunking
SIP Trunking

The first complete guide to planning, evaluating, and implementing high-value SIP trunking solutions

 

Most large enterprises have switched to IP telephony, and service provider backbone networks have largely converted to VoIP transport. But there’s a...

Risk-Pooling Essentials: Reducing Demand and Lead Time Uncertainty (SpringerBriefs in Business)
Risk-Pooling Essentials: Reducing Demand and Lead Time Uncertainty (SpringerBriefs in Business)

This book provides comprehensive and concise definitions of risk pooling and risk-pooling methods, a straightforward statistical explanation, and a value-chain oriented framework for analyzing risk-pooling methods. Risk pooling mitigates demand and lead time uncertainty in logistics and supply chain...

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