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Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
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...

R Deep Learning Projects: Master the techniques to design and develop neural network models in R
R Deep Learning Projects: Master the techniques to design and develop neural network models in R

5 real-world projects to help you master deep learning concepts

Key Features

  • Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more
  • Get to grips with R's impressive range of...
20 Minutes to a Top Performer: Three Fast and Effective Conversations to Motivate, Develop, and Engage Your Employees (Business Books)
20 Minutes to a Top Performer: Three Fast and Effective Conversations to Motivate, Develop, and Engage Your Employees (Business Books)

Transform Average Employees into Powerhouse Performers

“I cannot think of a more important message and timely book. 20 Minutes to a Top Performer offers quick, simple techniques for managers to improve their effectiveness in communicating with their teams.”
Steven Fine, vice president for
...

Computational Intelligence in Data Mining - Volume 3: Proceedings of the International Conference on CIDM, 20-21 December 2014 (Smart Innovation, Systems and Technologies)
Computational Intelligence in Data Mining - Volume 3: Proceedings of the International Conference on CIDM, 20-21 December 2014 (Smart Innovation, Systems and Technologies)

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis...

Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)
Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)
We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks,...
Statistical Methods, Second Edition
Statistical Methods, Second Edition

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection....

Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python
Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python

Become a master at penetration testing using machine learning with Python

Key Features

  • Identify ambiguities and breach intelligent security systems
  • Perform unique cyber attacks to breach robust systems
  • Learn to leverage machine learning algorithms
  • ...
Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification
Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification
Join author John Zdziarski for a look inside the brilliant minds that have conceived clever new ways to fight spam in all its nefarious forms. This landmark title describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted messages, how spam filtering works and how language...
Deploying Node.js
Deploying Node.js

Learn how to build, test, deploy, monitor, and maintain your Node.js applications at scale

About This Book

  • Gain comprehensive information on scaling Node.js both vertically and horizontally in the cloud and across virtual machines
  • Learn how to use Gulp, Mocha, Chai, PhantomJS, Git,...
Nagios Core Administration Cookbook
Nagios Core Administration Cookbook

Develop an integrated monitoring solution for virtually any kind of network

Overview

  • Monitor almost anything in a network.
  • Control notifications in your network by configuring Nagios Core.
  • Get a handle on best practices and time-saving configuration methods for a leaner...
Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python

Key Features

  • A go-to guide to help you master AI algorithms and concepts
  • 8 real-world projects tackling different challenges in healthcare, e-commerce, and...
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