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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Machine Learning and Knowledge Discovery in Databases

forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery;

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Machine Learning and Knowledge Discovery in Databases

Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social;

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The Essentials of Data Science Knowledge Discovery Using R Chapman HallCRC The R Series

machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout;

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Knowledge Discovery with Support Vector Machines

Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial;

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Discovery Science

Representation; Feature Importance; Interpretable Machine Learning; Networks; Pattern Discovery; and Time Series.;

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Machine Learning and Knowledge Discovery in Databases

techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other;

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Machine Learning and Knowledge Discovery in Databases

techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other;

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Machine Learning and Knowledge Discovery in Databases

techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other;

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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;

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Machine Learning with R

learns by example Prepare your data for machine learning work with the R programming language Classify important outcomes using nearest neighbor;

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Discovery Science

2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017. The 18 revised full papers presented together with;

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Text Mining with Machine Learning

demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning;

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Text Mining with Machine Learning

demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning;

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Machine Learning With R

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data's behavior; develop;

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Introduction to Machine Learning with R

guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with;

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R

Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning;

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Mastering Machine Learning with R -

Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;

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Mastering Machine Learning with R

Master machine learning techniques with R to deliver insights for complex projects About This Book * Get to grips with the;

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for;

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R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Hands-On Ensemble Learning with R

Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble;

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Data Mining Methods for Knowledge Discovery

chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate;

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