book

Introducing Machine Learning

by Dino Esposito, Francesco Esposito

February 2020

Beginner to intermediate

400 pages

11h 54m

English

Microsoft Press

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Who Should Read This Book?Who Should Not Read This Book?Organization of This BookCode SamplesErrata and Book SupportStay in Touch

The Journey Toward Thinking MachinesThe Biology of LearningArtificial Forms of IntelligenceSummary
Applied Artificial IntelligenceGeneral Artificial IntelligenceSummary
Fundamental ProblemsMore Complex ProblemsAutomated Machine LearningSummary
Data CollectionData PreparationModel Selection and TrainingDeployment of the ModelSummary
Data QualityData IntegrityWhat’s a Data Scientist, Anyway?Summary
Why (Not) Python?Introducing ML.NETSummary
The Data to Start FromThe Training StepPrice Prediction from Within a Client ApplicationSummary
The Overall ML.NET ArchitectureClassification TasksClustering TasksTransfer LearningSummary
Under the Umbrella of StatisticsBias and VarianceData RepresentationSummary
Statistics vs. Machine LearningEvaluation of a Machine Learning ModelPreparing Data for ProcessingSummary
The ProblemThe Linear AlgorithmImproving the SolutionSummary
The ProblemDesign Principles for Tree-Based AlgorithmsClassification TreesRegression TreesSummary
The ProblemThe Bagging TechniqueThe Boosting TechniqueSummary
Quick Introduction to Bayesian StatisticsApplying Bayesian Statistics to ClassificationNaïve Bayes ClassifiersNaïve Bayes RegressionSummary
A Basic Approach to Supervised ClassificationSupport Vector MachineUnsupervised ClusteringSummary
A Brief History of Neural NetworksTypes of Artificial NeuronsTraining a Neural NetworkSummary
Aspects of a Neural NetworkBuilding a Neural NetworkSummary
Common Issues of Feed-Forward Neural NetworksRecurrent Neural NetworksConvolutional Neural NetworksFurther Neural Network DevelopmentsSummary
Preparing Data for TrainingTraining the ModelThe Client ApplicationSummary
Azure Cognitive ServicesAzure Machine Learning StudioOn-Premises ServicesMicrosoft Data Processing ServicesSummary
Perception of AI in the IndustryEnd-to-End SolutionsSummary

Content preview from Introducing Machine Learning

Acknowledgments

About the Authors

Introduction

PART I LAYING THE GROUNDWORK OF MACHINE LEARNING

Chapter 1 How Humans Learn

The Journey Toward Thinking Machines

The Dawn of Mechanical Reasoning

Godel’s Incompleteness Theorems

Formalization of Computing Machines

Toward the Formalization of Human Thought

The Birth of Artificial Intelligence as a Discipline

The Biology of Learning

What Is Intelligent Software, Anyway?

How Neurons Work

The Carrot-and-Stick Approach

Adaptability to Changes

Artificial Forms of Intelligence

Primordial Intelligence

Expert Systems

Autonomous Systems

Artificial Forms of Sentiment

Summary

Chapter 2 Intelligent Software

Applied Artificial Intelligence

Evolution of Software Intelligence

Expert Systems ...

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Publisher Resources

ISBN: 9780135588338

Introducing Machine Learning

by Dino Esposito, Francesco Esposito

Contents

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Contents

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You might also like

Machine Learning for Business

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Publisher Resources

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.