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Machine Learning with Matlab. Unsupervised Learning Techniques

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Machine Learning Foundations

techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides;

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Hands-On Unsupervised Learning with Python

Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning;

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Machine Learning with scikit-learn Quick Start Guide

. Key Features Build your first machine learning model using scikit-learn Train supervised and unsupervised models using popular techniques such;

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TensorFlow 2.0 Quick Start Guide

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train;

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Applied Machine Learning for Smart Data Analysis

unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections;

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Machine Learning with Scala Quick Start Guide

Supervised and unsupervised machine learning made easy in Scala with this quick-start guide. Key Features Construct and deploy machine;

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Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

operations, with a focus on unsupervised learning; describes the use of spectral methods in process fault diagnosis.;

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MATLAB for Machine Learning

and more with MATLAB * Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This;

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Python Machine Learning Cookbook

to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common;

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Kernel Methods And Machine Learning

over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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Hands-On Machine Learning with IBM Watson

Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson;

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Hands-on Machine Learning with Python

structures in NumPy and Pandas * Demonstrate machine learning techniques and algorithm * Understand supervised learning and unsupervised learning;

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Hands-on Machine Learning with Python

unsupervised learning Examine convolutional neural networks and Recurrent neural networks Get acquainted with scikit-learn and PyTorch Predict;

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Machine Component Analysis with MATLAB

thorough, rigorous presentation of machine design, augmented with proven learning techniques which can be used by students and practicing engineers;

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Data Science Solutions with Python

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer;

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HandsOn Unsupervised Learning Using Python

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general;

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MATLAB Deep Learning

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals;

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Graphical Models for Machine Learning and Digital Communication

A variety of problems in machine learning and digital communication deal with complex but structured natural or artificial systems. In this;

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Machine Learning with PySpark

and unsupervised machine learning algorithms Implement machine learning algorithms with Spark MLlib libraries Develop a recommender;

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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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Mastering Machine Learning with R

Master machine learning techniques with R to deliver insights for complex projects About This Book * Get to grips with the;

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Machine Learning Fundamentals

With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and;

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Hands-On Machine Learning with C++

get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine;

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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their;

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