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Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
Computational Social Network Analysis: Trends, Tools and Research Advances (Computer Communications and Networks)
Computational Social Network Analysis: Trends, Tools and Research Advances (Computer Communications and Networks)

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities.

This unique text/reference compares...

AAD Algorithms-Aided Design. Parametric strategies using Grasshopper
AAD Algorithms-Aided Design. Parametric strategies using Grasshopper

Algorithmic design is not simply the use of computer to design architecture and objects. Algorithms allow designers to overcome the limitations of traditional CAD software and 3D modelers, reaching a level of complexity and control which is beyond the human manual ability. Algorithms-Aided Design presents design methods based on the use of...

An Elementary Introduction to the Wolfram Language
An Elementary Introduction to the Wolfram Language

The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone. Unique in its approach of building in vast knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. This book provides...

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...

Optimization in Medicine and Biology (Engineering and Management Innovation)
Optimization in Medicine and Biology (Engineering and Management Innovation)

Thanks to recent advancements, optimization is now recognized as a crucial component in research and decision-making across a number of fields. Through optimization, scientists have made tremendous advances in cancer treatment planning, disease control, and drug development, as well as in sequencing DNA, and identifying protein...

From Photon to Pixel: The Digital Camera Handbook
From Photon to Pixel: The Digital Camera Handbook

The digital camera conceals remarkable technological innovations that affect the formation of the image, the color representation or automated measurements and settings.

** From photon to pixel photon ** describes the device both from the point of view of the physics of the phenomena involved, as technical components and software...

Pro Processing for Images and Computer Vision with OpenCV: Solutions for Media Artists and Creative Coders
Pro Processing for Images and Computer Vision with OpenCV: Solutions for Media Artists and Creative Coders

Open Source Computer Vision Library (OpenCV, http://opencv.org/) started as an Intel research initiative around 1999. Now, it is the most popular open source software library for computer vision and machine learning. In the beginning, it was a set of C library functions for image processing and computer vision. Now, it has C++, Python, Java,...

Codes and Cryptography
Codes and Cryptography

This text unifies the concepts of information, codes and cryptography as first studied by Shannon in his seminal papers on communication and secrecy systems. The first five chapters cover the fundamental ideas of information theory, compact encoding of messages and the theory of error-correcting codes. After a discussion of mathematical...

Mastering Social Media Mining with R
Mastering Social Media Mining with R

Extract valuable data from your social media sites and make better business decisions using R

About This Book

  • Explore the social media APIs in R to capture data and tame it
  • Employ the machine learning capabilities of R to gain optimal business value
  • A hands-on guide with...
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...
Automated Trading with R: Quantitative Research and Platform Development
Automated Trading with R: Quantitative Research and Platform Development

Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play.

Automated Trading with R explains automated trading, starting with its...

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