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The GIMP Bible: Great for Beginners - 40+ Step-by-Step Tutorials
The GIMP Bible: Great for Beginners - 40+ Step-by-Step Tutorials
The GIMP Bible is the ultimate reference and guide to the free, recently updated, photo-editing software - GIMP. Due to its license-free application, this Adobe Photoshop-like image manipulation program is probably the most-used software in the world. If you're a beginner photographer or a professional, then this detailed how-to guide will...
Never Too Old to Get Rich: The Entrepreneur's Guide to Starting a Business Mid-Life
Never Too Old to Get Rich: The Entrepreneur's Guide to Starting a Business Mid-Life

Start a successful business mid-life

When you think of someone launching a start-up, the image of a twenty-something techie probably springs to mind. However, Gen Xers and Baby Boomers are just as likely to start businesses and reinvent themselves later in life. Never Too Old to Get Rich is an exciting...

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. 

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0....
Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT (SpringerBriefs in Electrical and Computer Engineering)
Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT (SpringerBriefs in Electrical and Computer Engineering)
This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research...
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Get to grips with the essentials of deep learning by leveraging the power of Python

Key Features

  • Your one-stop solution to get started with the essentials of deep learning and neural network modeling
  • Train different kinds of neural networks to tackle various problems in...
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning

Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease

Key Features

  • Build smart mobile applications for Android and iOS devices
  • Use popular machine learning toolkits such as Core ML and TensorFlow Lite
  • Explore...
Python Machine Learning Cookbook
Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

  • Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
  • Learn about perceptrons and see how they are used to build neural...
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...
Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2017 (Technologien für die intelligente Automation)
Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2017 (Technologien für die intelligente Automation)

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It  contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 25th-26th, 2017. 

Cyber Physical Systems are...

Human Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Human Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Human computation is a new and evolving research area that centers around harnessing human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. With the growth of the Web, human computation systems can now leverage the abilities of an unprecedented number of people via the...

Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)
Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Modeling problems in this book are addressed mainly from the computational viewpoint. The primary concerns are how to define an objective function for the optimal solution to a image analysis or computer vision problem and how to find the optimal solution. The solution is defined in an optimization sense because the perfect solution is...

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