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MATLAB Machine Learning Recipes

critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach;

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MATLAB Machine Learning Recipes

critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach;

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MATLAB for Machine Learning

Extract patterns and knowledge from your data in easy way using MATLAB About This Book * Get your first steps into machine learning;

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Machine Learning with Matlab. Unsupervised Learning Techniques

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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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Machine Component Analysis with MATLAB

Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static;

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MATLAB

updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the;

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Cognitive Computing Recipes

with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants;

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TensorFlow Machine Learning Cookbook

Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;

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Machine Learning Using TensorFlow Cookbook

Comprehensive recipes to give you valuable insights on Transformers, Reinforcement Learning, and more Key Features Deep Learning;

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TensorFlow Machine Learning Cookbook

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features;

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Scala Data Analysis Cookbook

Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes About This Book;

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Introduction to Statistical Machine Learning

that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you;

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scikit-learn Cookbook -

, and evaluate the performance of your model * Practical, easy to understand recipes aimed at helping you choose the right machine learning;

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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;

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Machine Learning in Cognitive IoT

This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT;

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Electrical Machine Fundamentals with Numerical Simulation using MATLAB/SIMULINK

on MATLAB/Simulink Electrical Machine Fundamentals with Numerical Simulation using MATLAB/Simulink provides readers with a basic;

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Python Machine Learning Cookbook

approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful;

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Practical Machine Learning Cookbook

in various situations. The first half of the book provides recipes on fairly complex machine-learning systems, where you'll learn to explore new;

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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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Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your;

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Artificial Intelligence with Python Cookbook

Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python Key Features;

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A Primer on Machine Learning Applications in Civil Engineering

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded;

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MATLAB (R) and Design Recipes for Earth Sciences

book MATLAB Recipes for Earth Sciences-3rd Edition (2010), which demonstrates the use of statistical and numerical methods on earth science;

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Collecting, Processing and Presenting Geoscientific Information

This second edition is an intensively revised and updated version of the book MATLAB (R) and Design Recipes for Earth Sciences. It aims to;

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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;

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Statistics in MATLAB

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version;

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