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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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Multimodal Learning for Clinical Decision Support and Clinical Image Based Proce

Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd;

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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held;

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Supervised Machine Learning

of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML;

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Mastering Azure Machine Learning

Kubernetes Services with Azure Machine Learning, along with the basics of MLOps-DevOps for ML to automate your ML process as CICD pipeline. By the;

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ReRAM-based Machine Learning

such large amounts of data sets has led to the adoption of machine learning (ML) and deep learning (DL) methods in a wide range of applications;

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

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;

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Human and Machine Learning

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;

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Machine Learning

Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering;

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Real-World Machine Learning

DESCRIPTION In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical;

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Elements of ML Programming, ML97 Edition

For sophomore through graduate level courses covering an introduction to the fundamentals of ML programming or as a supplement for;

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Les/werkboek 2 Vmbo/Kgt Massamedia ML

Les/werkboek 2 Vmbo/Kgt Massamedia ML is een boek van A. Baars;

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Adversary-Aware Learning Techniques and Trends in Cybersecurity

This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AIML;

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Machine Learning with Core ML

Leverage the power of Apple's Core ML to create smart iOS apps Key Features Explore the concepts of machine learning and Apple's Core ML;

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Beginning Machine Learning in the Browser

Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an;

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The Definition of Standard Ml

This book presents the official, formal definition of the programming language ML including the rules for grammar and static and dynamic;

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Introduction To Machine Learning In Quantitative Finance, An

In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all;

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Introduction To Machine Learning In Quantitative Finance, An

In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all;

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Practical Java Machine Learning

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and;

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