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Document Processing Using Machine Learning

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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Machine Learning with PySpark

algorithms along with natural language processing and recommender systems using PySpark. Machine Learning with PySpark shows you how to build;

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Beginning Apache Spark 3

Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;

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Machine Learning for OpenCV 4

image processing systems using OpenCV 4 Key Features Gain insights into machine learning algorithms, and implement them using OpenCV 4 and;

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Overview of Speech Based Gender Identification

This book focuses on the basics of natural language processing and machine learning required to make a standard speech- based gender;

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Automatic Digital Document Processing and Management

concepts in machine learning, and providing a case study on building an intelligent system for digital document and library management; discusses;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Deep Learning

solve predictive modelling problems using the most popular machine learning Java libraries. * Explore a broad variety of data processing;

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Natural Language Processing with Python Quick Start Guide

, subwords and characters in the English language for exploring document clustering Deep Learning in NLP using PyTorch with a code-driven;

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Cognitive Computing Recipes

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes;

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Machine Learning and Information Processing

This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at;

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Signal Processing and Machine Learning with Applications

Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with;

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Hands-On Image Processing with Python

enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn;

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Machine Learning and Information Processing

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held;

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Hybrid Machine Intelligence for Medical Image Analysis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;

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Apache Spark 2

querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and;

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Hands-On GPU Computing with Python

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;

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Recent Trends in Image Processing and Pattern Recognition

science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and;

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Recent Trends in Image Processing and Pattern Recognition

science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and;

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Python Image Processing Cookbook

solve real-world image processing problems Key Features Discover solutions to complex image processing tasks using Python tools such as scikit;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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