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Machine Learning Using TensorFlow Cookbook

trees, both for classification and regression. Explore the practical applications of a variety of deep learning architectures, such as;

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Practical Machine Learning Cookbook

Resolving and offering solutions to your machine learning problems with R About This Book * Implement a wide range of algorithms and;

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Machine Learning with R Cookbook

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;

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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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Python Machine Learning Cookbook

learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions;

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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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Python

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand;

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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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Practical Machine Learning with Rust

"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;

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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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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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R

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book;

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Reinforcement Learning

learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying;

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Machine Learning in Finance

Are you a machine learning enthusiast looking for a practical day to day application? Or are you just trying to incorporate machine;

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Python Feature Engineering Cookbook

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries;

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Python Machine Learning -

. About This Book * Second edition of the bestselling book on Machine Learning * A practical approach to key frameworks in data science, machine;

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Artificial Intelligence for IoT Cookbook

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key Features Discover;

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Practical Machine Learning

working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark * Comprehensive practical;

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

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;

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Machine Learning in Industry

industries aspiring to use machine learning for solving practical industrial problems.;

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Practical Machine Learning with Rust

. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed;

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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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Practical Machine Learning with Python

you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python;

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