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Machine Learning and Big Data

This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine;

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Machine Learning Algorithms for Industrial Applications

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine;

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Machine Learning Applications in Non-Conventional Machining Processes

Traditional machining has many limitations in today's technology-driven world, which has caused industrial professionals to begin;

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Machine Learning Applications in Non-Conventional Machining Processes

Traditional machining has many limitations in today's technology-driven world, which has caused industrial professionals to begin;

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Data-Driven Evolutionary Optimization

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning;

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Machine Learning Theoretical Foundations and Practical Applications

learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web;

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Machine Learning in Industry

applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and;

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Embedded Vision

video.It has a wide range of applications to machine learning, artificial intelligence, industrial, medical, driverless cars, drones, smart phones;

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Artificial Intelligence XXXV

Networks; Planning and Scheduling; Machine Learning; Industrial Applications of Artificial Intelligence; Planning and Scheduling in Action; Machine;

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Condition Monitoring with Vibration Signals

: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial;

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Machine Learning for OpenCV 4

unsupervised machine learning. You will gain hands-on experience using scikit-learn in Python for a variety of machine learning applications. Later;

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Machine Learning The New AI

offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and;

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Deep Learning Applications

solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for;

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Machine Learning with SAP

Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;

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Industrial Applications of Machine Learning

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth;

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Machine Learning and Systems Engineering

, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and;

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Bio-inspired Algorithms for Engineering

algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning;

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses;

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Human and Machine Learning

needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book;

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Deep Learning Applications Volume 2

. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers;

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Practical Machine Learning and Image Processing

advanced machine learning and deep learning methods for image processing and classification. You'll work with concepts such as pulse coupled neural;

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Practical Machine Learning and Image Processing

advanced machine learning and deep learning methods for image processing and classification. Yoüll work with concepts such as pulse coupled neural;

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Adversarial Robustness for Machine Learning

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on;

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Introduction to Machine Learning with Python

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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