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Interpretable Machine Learning

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you;

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Discovery Science

knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various;

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Explainable AI with Python

This book provides a full presentation of the current concepts and available techniques to make machine learning systems more explainable;

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Machine Learning and Knowledge Discovery in Databases

Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019. The 70 full papers and 46 short papers;

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Statistical Learning for Biomedical Data

tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction;

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Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding

Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019. The 70 full papers and 46 short papers;

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Discovery Science

processing; ensembles; explainable and interpretable machine learning; graph and network mining; multi-target models; neural networks and deep;

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Interpreting Machine Learning Models

Understand model interpretability methods and apply the most suitable one for your machine learning project. This book details the concepts;

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Interpretable and Annotation Efficient Learning for Medical Image Computing

in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020;

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Advances in Knowledge Discovery and Data Mining

related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering;

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Advances in Knowledge Discovery and Data Mining

related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering;

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Advances in Knowledge Discovery and Data Mining

related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering;

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Developing Enterprise Chatbots: Learning Linguistic Structures

reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot;

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Empirical Approach to Machine Learning

This book provides a 'one-stop source' for all readers who are interested in a new, empirical approach to machine learning that, unlike;

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Machine Learning for Oracle Database Professionals

Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's;

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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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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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Machine Learning with scikit-learn Quick Start Guide

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;

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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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Beginning Machine Learning in iOS

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Machine Learning Foundations

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;

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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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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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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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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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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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