Abstract
Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement le
Citation impact
1,082
total citations
- FWCI
- 7.73
- Percentile
- 100%
- References
- 4
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Authors
1Topics & keywords
Topics
Keywords
- Python (programming language)
- Computer science
- Implementation
- Perspective (graphical)
- Artificial intelligence
- Reinforcement learning
- Dimensionality reduction
- Theoretical computer science
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