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Machine Learning Projects for .NET Developers
Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a...

Data Just Right: Introduction to Large-Scale Data & Analytics (Addison-Wesley Data & Analytics Series)
Data Just Right: Introduction to Large-Scale Data & Analytics (Addison-Wesley Data & Analytics Series)

Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions

 

Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets;...

Computer Sciences: Macmillan Science Library
Computer Sciences: Macmillan Science Library
The science of computing has come a long way since the late 1930s, when John Vincent Atanasoff and Clifford Berry began work on the first electronic digital computer. One marvels to see how the science has advanced from the days of Charles Babbage, who developed the Difference Engine in the 1820s, and, later proposed the...
Modeling and Simulation of Systems Using MATLAB and Simulink
Modeling and Simulation of Systems Using MATLAB and Simulink

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and...

Electro-Optics Handbook
Electro-Optics Handbook

It’s often difficult to predict which areas of a field will become rejuvenated and grow rapidly or spin off to fit with another to form something new. The field of electro-optics is also unpredictable, but currently it has numerous forces acting on it. First is the development of new optical sources such as ultrafast lasers and fiber...

Data-Driven Security: Analysis, Visualization and Dashboards
Data-Driven Security: Analysis, Visualization and Dashboards

Uncover hidden patterns of data and respond with countermeasures

Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. You'll soon understand how to...

Learning SAP Analytics Cloud
Learning SAP Analytics Cloud

Key Features

  • Predict new opportunities and risks in a few mouse clicks
  • Eliminate complexity with tools that let you plan, analyze, and collaborate in context—in real time
  • Discover, visualize, plan, and predict in a single product with agile BI tools

Book...

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Learning scikit-learn: Machine Learning in Python
Learning scikit-learn: Machine Learning in Python

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.

Overview

  • Use Python and scikit-learn to create intelligent applications
  • Apply...
Java: Data Science Made Easy
Java: Data Science Made Easy

Data collection, processing, analysis, and more

About This Book

  • Your entry ticket to the world of data science with the stability and power of Java
  • Explore, analyse, and visualize your data effectively using easy-to-follow examples
  • A highly practical course covering a broad...
Software and Systems Traceability
Software and Systems Traceability
Software engineering is a pessimistic discipline. The glass is always half empty rather than half full. Not surprising really, we are hardened to the grind of improving quality, painstakingly testing and, never quite, eliminating bugs. Critical review is of the essence. We know there is “no silver bullet”.

...
Wireless Data Demystified (Mcgraw-Hill Demystified Series)
Wireless Data Demystified (Mcgraw-Hill Demystified Series)
UNDERSTAND WIRELESS DATA COMPLETELY, EASILY WITH WIRELESS DATA DEMYSTIFIED

Wireless subscribers are up, but revenue per subscriber isn’t – and it isn’t going to be unless wireless service providers can provide more than plain-vanilla voice services. The road to successful deployment of data services...

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