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PySpark Recipes: A Problem-Solution Approach with PySpark2
PySpark Recipes: A Problem-Solution Approach with PySpark2
Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!

Digital Signal Processing Using MATLAB
Digital Signal Processing Using MATLAB
From the beginning of the 1980s we have witnessed a revolution in computer technology and an explosion in user-friendly applications. This revolution is still continuing today with low-cost personal computer systems that rival the performance of expensive workstations. This technological prowess should be brought to bear on the...
Beginner's Guide to Android App Development: A Practical Approach for Beginners
Beginner's Guide to Android App Development: A Practical Approach for Beginners
This book covers Android app design fundamentals in Android Studio using Java programming language.

The author assumes you have no experience in app development. The book starts with the installation of the required development environment and setting up the emulators. Then, the simplest “Hello World” app is
...
Practical Azure Application Development: A Step-by-Step Approach to Build Feature-Rich Cloud-Ready Solutions
Practical Azure Application Development: A Step-by-Step Approach to Build Feature-Rich Cloud-Ready Solutions
Get started and learn a step-by-step approach to application development using Microsoft Azure. Select the right services to solve the problem at hand in a cost-effective manner and explore the potential different services and how they can help in building enterprise applications.

Azure has an ample amount of
...
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...
Arctic Energy and Social Sustainability
Arctic Energy and Social Sustainability
In recent years the Arctic has become the focus of political, popular and scholarly debates around the future of our world’s Energy. Increasing consumption, dwindling reserves, climate warming and developing technologies are expected to push energy-related activities ever further into the previously inaccessible north. Within this...
Signal Processing for Intelligent Sensor Systems with MATLAB® (Signal Processing and Communications)
Signal Processing for Intelligent Sensor Systems with MATLAB® (Signal Processing and Communications)

Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference...

Introduction to R for Quantitative Finance
Introduction to R for Quantitative Finance

R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.

Overview

  • Use time series analysis to model and forecast house...
MATLAB Graphics and Data Visualization Cookbook
MATLAB Graphics and Data Visualization Cookbook

MATLAB's customizable graphics elements allow you to tailor your visualizations for exactly what you need to present; alter the figure and axis properties, lighting, transparency and camera position. Use MATLAB to apply volume visualizations to your data as well as interactivity and animation, or to plot your data in 1, 2, 3 and higher...

Machine Vision : Theory, Algorithms, Practicalities
Machine Vision : Theory, Algorithms, Practicalities
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists...
Computer Security Fundamentals (Pearson IT Cybersecurity Curriculum (ITCC))
Computer Security Fundamentals (Pearson IT Cybersecurity Curriculum (ITCC))

ONE-VOLUME INTRODUCTION TO COMPUTER SECURITY

 

Clearly explains core concepts, terminology, challenges, technologies, and skills

 

Covers today’s latest attacks and...

Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)
Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)

The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability....

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