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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re...

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...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor
Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor

Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Our War Paint Is Writers' Ink: Anishinaabe Literary Transnationalism (SUNY series, Native Traces)
Our War Paint Is Writers' Ink: Anishinaabe Literary Transnationalism (SUNY series, Native Traces)
The first word of Anishinaabemowin my father ever taught me was “miigwech”—“thank you”—because it is the most important. I have had many opportunities to use the word over the course of writ ing this book, but I would be remiss if I didn’t take the time to say it once...
Advances in Signal Processing and Intelligent Recognition Systems: 4th International Symposium SIRS 2018, Bangalore, India, September 19–22, 2018, ... in Computer and Information Science (968))
Advances in Signal Processing and Intelligent Recognition Systems: 4th International Symposium SIRS 2018, Bangalore, India, September 19–22, 2018, ... in Computer and Information Science (968))
This book constitutes the refereed proceedings of the 4th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2018, held in Bangalore, India, in September 2018.

The 28 revised full papers and 11 revised short papers presented were carefully reviewed and selected from 92...

The Image Processing Handbook, Sixth Edition
The Image Processing Handbook, Sixth Edition

Image processing is used in a wide variety of applications, for two somewhat different purposes:

1. improving the visual appearance of images to a human observer, including their printing and transmission, and

2. preparing images for the measurement of the features and structures which they reveal.

The...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
Learn Robotics Programming: Build and control autonomous robots using Raspberry Pi 3 and Python
Learn Robotics Programming: Build and control autonomous robots using Raspberry Pi 3 and Python

Gain experience of building a next-generation collaboration robot

Key Features

  • Get up and running with the fundamentals of robotic programming
  • Program a robot using Python and the Raspberry Pi 3
  • Learn to build a smart robot with interactive and AI-enabled...
Remote Sensing Image Analysis: Including the Spatial Domain (Remote Sensing and Digital Image Processing)
Remote Sensing Image Analysis: Including the Spatial Domain (Remote Sensing and Digital Image Processing)
Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for...
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

  • Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action
  • Get to grips with Keras and practice on real-world unstructured...
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