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Probabilistic Machine Learning: Advanced Topics Ciltli Kapak – 15 Ağustos 2023
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An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality.
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Product Details
| Publishers | WITH Press |
| Date of publication | 15 August 2023 |
| Language | English |
| Print Length | 1360 pages |
| ISBN-10 | 0262048434 |
| ISBN-13 | 978-0262048439 |
| Dimensions | 21.29 x 5.54 x 23.65 cm |
| Best Sellers Ranking | Artificial Intelligence and Machine Learning Ranked 146th in the following category: |
| Customer Reviews | 4.7 out of 5 stars 4.7 |
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Probabilistic Machine Learning: Advanced Topics Ciltli Kapak – 15 Ağustos 2023
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Features & Benefits
- Researchers and graduate students in machine learning and statistics
- Deep generative modeling
- Graphical models
- Bayesian inference
- Reinforcement learning
- Causality
- Provides knowledge of crucial issues in machine learning from top scientists and domain experts
- Puts deep learning in a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference
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