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A Brief Introduction to Machine Learning for Engineers

introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning;

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Practical Machine Learning with Rust

heavy. What You Will Learn Write machine learning algorithms in Rust Use Rust libraries for different tasks;

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Deploy Machine Learning Models to Production

is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into;

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Machine Learning in Cardiovascular Medicine

machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and;

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Machine Learning for Speaker Recognition

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;

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Machine Learning for Engineers

All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive;

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MATLAB Machine Learning Recipes

pattern recognition, autonomous driving, expert systems, and much more. What you'll learn: How to write code for machine learning, adaptive;

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MATLAB Machine Learning Recipes

pattern recognition, autonomous driving, expert systems, and much more. What you'll learn:How to write code for machine learning, adaptive;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques;

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Machine Learning Paradigm for Internet of Things Applications

MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they;

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Machine Learning Guide for Oil and Gas Using Python

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;

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Statistical Machine Learning

for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework;

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Machine Learning and Security

learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Machine Learning

Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area;

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Mastering Machine Learning with Python in Six Steps

), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine;

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Mastering Machine Learning with Python in Six Steps

reduction technique for IoT data. Finally, yoüll review advanced text mining techniques, recommender systems, neural networks, deep learning;

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Practical Machine Learning with Python

examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science;

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Hands-on Machine Learning with Python

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it;

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Machine Learning in Computer-Aided Diagnosis

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine;

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Machine Learning Engineering with MLflow

Explore machine learning workflows for stating ML problems in a concise and clear manner using MLflow Use MLflow to iteratively develop a ML;

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Machine Learning for iOS Developers

, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple's ML services, Machine Learning for iOS Developers;

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