Hands on Machine Learning with Scikit Learn and TensorFlow: Concepts, Tools and Techniques to Build Intelligent Systems
Material type:
- 9789352135219
- 006.31 GER
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 006.31 GER (Browse shelf(Opens below)) | Available | M0034421 |
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Part I: The Fundamentals of Machine Learning
1. The Machine Learning Landscape
2. End-to-End Machine Learning Project
3. Classification
4. Training Models
5. Support Vector Machines
6. Decision Trees
7. Ensemble Learning and Random Forests
8. Dimensionality Reduction
Part II: Neural Networks and Deep Learning
9. Up and Running with TensorFlow
10. Introduction to Artificial Neural Networks
11. Training Deep Neural Nets
12. Distributing TensorFlow Across Devices and Servers
13. Convolutional Neural Networks
14. Recurrent Neural Networks
15. Autoencoders
16. Reinforcement Learning
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