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

Writing a book with your son is a special experience even when it’s the umpteenth book you write. For this one, I just put down in (hopefully clear) words Francesco’s thoughts, vision, and his deep, and largely unexplained, understanding of machine learning. I definitely learned a lot from writing as much as I hope you will learn from reading.

If I learned a lot, well, that was mostly because of two people.

It’s not the first time I have done some writing under the technical supervision of Cesar De la Torre Llorente, and it’s always been a heavenly experience. I love his pragmatism and accuracy in devising, before designing, software products. He’s currently principal program manager on the .NET product group at Microsoft and ...