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Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition)
Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition)
With the presentation at an introductory level, the third edition of the book (2007 copyright) contains a comprehensive treatment of continuous-time and discrete-time signals and systems, with demos on the textbook website (users.ece.gatech.edu/~bonnie/book3), data downloaded from the Web, and illustrations of numerous MATLAB commands for the...
Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python
Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.

The overall...

Full Stack JavaScript: Learn Backbone.js, Node.js, and MongoDB
Full Stack JavaScript: Learn Backbone.js, Node.js, and MongoDB

Learn agile JavaScript web development using the latest cutting-edge front-end and back-end technologies including Node.js, MongoDB, Backbone.js, Parse.com, Heroku, and Microsoft Azure. Using a key project example of a message board app, you will learn the foundations of a typical web application: fetching data, displaying...

Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition
Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition

Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data

Key Features

  • Perform complex bioinformatics analysis using the most important Python libraries and applications
  • Implement next-generation sequencing,...
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
The Influence of Technology on Social Network Analysis and Mining (Lecture Notes in Social Networks)
The Influence of Technology on Social Network Analysis and Mining (Lecture Notes in Social Networks)

The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant...

Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers

Choose the smarter way to learn about containerizing your applications and running them in production.

Key Features

  • Deploy and manage highly scalable, containerized applications with Kubernetes
  • Build high-availability Kubernetes clusters
  • Secure your...
Modern Analysis of Customer Surveys: with Applications using R
Modern Analysis of Customer Surveys: with Applications using R
Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As...
Django RESTful Web Services: The easiest way to build Python RESTful APIs and web services with Django
Django RESTful Web Services: The easiest way to build Python RESTful APIs and web services with Django

Design, build and test RESTful web services with the Django framework and Python

Key Features

  • Create efficient real-world RESTful web services with the latest Django framework
  • Authenticate, secure, and integrate third-party packages efficiently in your Web Services
  • ...
Bash Cookbook: Leverage Bash scripting to automate daily tasks and improve productivity
Bash Cookbook: Leverage Bash scripting to automate daily tasks and improve productivity

Create simple to advanced shell scripts and enhance your system functionality with effective recipes

Key Features

  • Automate tedious and repetitive tasks
  • Create several novel applications ranging from a simple IRC logger to a Web Scraper
  • Manage your system...
Graphical Models with R (Use R!)
Graphical Models with R (Use R!)
Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modelling software programs have been written over the years. In recent years many of these software developments have...
Hands-On Bug Hunting for Penetration Testers: A practical guide to help ethical hackers discover web application security flaws
Hands-On Bug Hunting for Penetration Testers: A practical guide to help ethical hackers discover web application security flaws

Detailed walkthroughs of how to discover, test, and document common web application vulnerabilities.

Key Features

  • Learn how to test for common bugs
  • Discover tools and methods for hacking ethically
  • Practice working through pentesting engagements...
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