{
"item_title" : "Machine Learning and Artificial Intelligence",
"item_author" : [" Ameet V. Joshi "],
"item_description" : "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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Machine Learning and Artificial Intelligence
Overview
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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Details
- ISBN-13: 9783030266240
- ISBN-10: 3030266249
- Publisher: Springer
- Publish Date: October 2020
- Dimensions: 9.21 x 6.14 x 0.6 inches
- Shipping Weight: 0.88 pounds
- Page Count: 261
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