Machine Learning and Artificial Intelligence
The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theo...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2023, 2023
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| Edition: | 2nd ed. 2023 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Introduction to AI and ML
- Essential Concepts in Artificial Intelligence and Machine Learning
- Data Understanding, Representation, and Visualization
- Linear Methods
- Perceptron and Neural Networks
- Decision Trees
- Support Vector Machines
- Probabilistic Models
- Dynamic Programming and Reinforcement Learning
- Evolutionary Algorithms
- Time Series Models
- Deep Learning
- Emerging Trends in Machine Learning
- Unsupervised Learning
- Featurization
- Designing and Tuning
- Model Pipelines
- Performance Measurement
- Classification
- Regression
- Ranking
- Recommendations Systems
- Azure Machine Learning
- Open Source Machine Learning Libraries
- Amazon’s Machine Learning Toolkit: Sagemaker
- Conclusion