Machine learning

All lectures: All lectures on the discipline: machine learning are collected here. These fascinating lectures provide us with the opportunity to explore the deep principles and phenomena underlying our knowledge and our desire to understand the world.

1. Statistical training

2. Training with a teacher. Error correction method. Error back propagation method

3. Teaching without a teacher

4. Reinforcement training

5. Active Learning Active Learning in machine learning and artificial intelligence

6. Teaching with partial involvement of the teacher

7. Transductive learning (transduction, machine learning)

8. Multivariate learning (multiple-instance learning)

9. Spike neural networks

10. Machine learning

11. Knowledge acquisition

12. Neuroemulators

13. 8. Training on gigabytes with Vowpal Wabbit

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