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Identification of Handwritten Characters using Machine Learning

learning techniques. The performance of these techniques is compared based on some parameters for recognition of similar shaped handwritten Hindi;

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Handwritten Gurumukhi Character Recognition

resembling the characters . Testing of characters using Arificial Neural Networks . Training of characters;

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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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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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Machine Learning for OpenCV

Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book * Load;

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Machine Learning Applications

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have;

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Hands-On Machine Learning with IBM Watson

DescriptionIBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book;

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Handwritten Character Recognition

The recognition of handwritten characters is a vital research area in the domain of text segmentatio;...

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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools;

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Chinese Cursive Script

a crucial gap in the bridge between academic learning and real-life competence.;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Computer Vision Projects with OpenCV and Python 3

Features Implement image classification and object detection using machine learning and deep learning Perform image classification, object;

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Identification of Hostile TCP Traffic Using Support Vector Machines

recognise malicious or hostile network traffic based on previous examples of such behaviour. Whilst intrusion detection using machine learning;

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Mastering .NET Machine Learning

4.6.1, includes examples on ASP.NET Core 1.0 * Set up your business application to start using machine learning techniques * Familiarize the;

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Deploy Machine Learning Models to Production

learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes. The book;

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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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Machine Learning Applications Using Python

where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the;

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Artificial Neural Networks with Java

Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;

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Machine Learning based Natural Scene Recognition for Mobile Robot Localization i

feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Machine Learning with Core ML

required to put machine learning to work in their own applications, using the Core ML APIs What you will learn Understand components of an ML;

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Machine Learning with scikit-learn Quick Start Guide

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;

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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 for Oracle Database Professionals

and evaluation Understand Oracle offerings for machine learning Develop machine learning with Oracle database using the built-in machine;

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

Automated Machine Learning using Azure Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning Understand how;

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Ensemble Machine Learning Cookbook

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular;

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MATLAB Machine Learning Recipes

control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning;

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