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Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence

Paperback

Technology & EngineeringDatabasesGeneral Computers

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ISBN10: 3030266249
ISBN13: 9783030266240
Publisher: Springer
Published: Oct 7 2020
Pages: 261
Weight: 0.88
Height: 0.60 Width: 6.10 Depth: 9.25
Language: English
Introduction.- Part I Introduction to AI and ML.- Essential concepts in AL and ML.- Part II Techniques for Static Machine Learning Models.- Perceptron and Neural Networks.- Decision Trees.- Advanced Decision Trees.- Support Vector Machines.- Probabilistic Models.- Deep Learning.- Part III Techniques for Dynamic Machine Learning Models.- Autoregressive and Moving Average Models.- Hidden Markov Models and Conditional Random Fields.- Recurrent Neural Networks.- Part IV Applications.- Classification Regression.- Ranking.- Clustering.- Recommendations.- Next Best Actions.- Designing ML Pipelines.- Using ML Libraries.- Azure Machine Learning Studio.- Conclusions.

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