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Machine Learning and Systems Engineering

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October;

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Advances in Machine Learning Applications in Software Engineering

Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge;

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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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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces;

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Machine Learning Engineering with Python

Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production;

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Empowering Artificial Intelligence Through Machine Learning

This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new;

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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 Technologies and Applications

This book comprises the best deliberations with the theme Machine Learning Technologies and Applications in the International Conference;

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Machine Learning Engineering

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Machine Learning Engineering

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications

selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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Machine Learning

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the;

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Welding and Cutting Case Studies with Supervised Machine Learning

This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and;

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Welding and Cutting Case Studies with Supervised Machine Learning

This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and;

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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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Engineering Dependable and Secure Machine Learning Systems

This book constitutes the revised selected papers of the Third International Workshop on Engineering Dependable and Secure Machine Learning;

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Practical Machine Learning with Python

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;

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Machine Learning Modeling for IoUT Networks

This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments;

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;

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Engineering Applications of Neural Networks

and selected from 39 submissions. The papers are organized in topical sections on activity recognition, deep learning, extreme learning;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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The International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and;

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Machine Learning and Information Processing

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held;

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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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