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Distributed Algorithms: An Intuitive Approach (The MIT Press)
Distributed Algorithms: An Intuitive Approach (The MIT Press)

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.

This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical...

Internet of Things with Arduino Cookbook
Internet of Things with Arduino Cookbook

Key Features

  • This book offers key solutions and advice to address the hiccups faced when working on Arduino-based IoT projects in the real world
  • Take your existing skills and capabilities to the next level by building challenging IoT applications with ease.
  • Be the tech disruptor you always...
Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

Probability and Statistics for Computer Scientists
Probability and Statistics for Computer Scientists

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic
...

Communicating Science: A Practical Guide for Engineers and Physical Scientists
Communicating Science: A Practical Guide for Engineers and Physical Scientists

Read this book before you write your thesis or journal paper! Communicating Science is a textbook and reference on scientific writing oriented primarily at researchers in the physical sciences and engineering. It is written from the perspective of an experienced researcher. It draws on the authors' experience of teaching and working with...

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...
Django: Web Development with Python
Django: Web Development with Python

About This Book

  • Explore the best practices to develop applications of a superior quality with Django framework
  • Unravel the common problems of web development in Django
  • This course teaches you major Django functions and will help you improve your skills by developing models, forms, views, and...
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...

Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection (Intelligent Systems Reference Library)
Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection (Intelligent Systems Reference Library)

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving...

Blockchain Basics: A Non-Technical Introduction in 25 Steps
Blockchain Basics: A Non-Technical Introduction in 25 Steps

In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.

This book...

Matlab: A Practical Introduction to Programming and Problem Solving
Matlab: A Practical Introduction to Programming and Problem Solving

MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software’s powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on...

Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)
Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in...

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