Format:
Table of Contents: “... -- Hidden Markov Model -- Multilayer Perceptron -- Machine Learning: Clustering Algorithms -- k -Means...”
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Format:
Table of Contents: “... Machine Learning Techniques -- 1 Einleitung -- 2 Methode -- 3 Datenerhebung und -aufbereitung -- 3...”
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Format:
Table of Contents: “... Objectives -- References -- Machine Learning Techniques in Reactive Atomistic Simulations -- 1 Introduction...”
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Format:
Table of Contents: “... Metadata -- 16 Metadata Repositories -- 16.1 Introduction -- 16.2 Organizing the World Machine Learning...”
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Format:
Table of Contents: “... Using Machine Learning -- 1 Introduction -- 2 Data -- 3 Feature Representation -- 3.1 Basic Music...”
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Format:
Table of Contents: “... neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining...”
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Format:
Table of Contents: “... -- 2 How the Book Is Structured -- 2.1 Introductory Chapters -- 2.2 Machine Learning Methods -- 2...”
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Format:
Table of Contents: “....2 Swarm Intelligence for Unsupervised Machine Learning -- 7.3 Missing Links: Emergence and Game Theory...”
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Format:
Table of Contents: “... Neuroscience -- 1.4.2 Knowledge Representation in AI -- 1.4.3 Feature Engineering in Machine Learning -- 1...”
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Format:
Table of Contents: “...6.2 Overview of Machine Learning Techniques -- 6.2.1 Statistical Machine Learning -- 6.2.2 Deep...”
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Format:
Table of Contents: “... Anomaly Detection Algorithm -- 4 Anomaly Detection Algorithm Based on Machine Learning -- 4.1 Clustering...”
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Format:
Table of Contents: “... knowledge beyond explicity -- 4.3 Conceptualizing human-machine agency -- 5 Summary and outlook...”
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Format:
Table of Contents: “... on Machine Learning -- 1 Introduction -- 2 Neural Network Overview -- 3 The Basic Principles and Models...”
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Format:
Table of Contents: “....1 Machine Learning in Mining -- 1.2 Stationarity in the Context of Mineral Resource Modeling -- 1.3 Types...”
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Format:
Table of Contents: “...Intro -- Preface -- Organization -- Contents -- Machine Learning and Deep Learning Approaches...”
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Format:
Table of Contents: “... -- References -- General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models -- 1...”
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