Filename Size 1. Introduction/1. Introduction.mp4 3.5 MB 1. Introduction/1. Introduction.vtt 2.4 KB 1. Introduction/2. Introduction to machine learning.mp4 8.1 MB 1. Introduction/2. Introduction to machine learning.vtt 6.3 KB 10. Boosting/1. Boosting introduction - basics.mp4 8.4 MB 10. Boosting/1. Boosting introduction - basics.vtt 4.9 KB 10. Boosting/2. Boosting introduction - illustration.mp4 8.2 MB 10. Boosting/2. Boosting introduction - illustration.vtt 6.3 KB 10. Boosting/3. Boosting introduction - equations.mp4 13.7 MB 10. Boosting/3. Boosting introduction - equations.vtt 7.8 KB 10. Boosting/4. Boosting introduction - final formula.mp4 13 MB 10. Boosting/4. Boosting introduction - final formula.vtt 9 KB 10. Boosting/5. Boosting implementation I - iris dataset.mp4 12.3 MB 10. Boosting/5. Boosting implementation I - iris dataset.vtt 6.3 KB 10. Boosting/6. Boosting implementation II -tuning.mp4 10.4 MB 10. Boosting/6. Boosting implementation II -tuning.vtt 5.2 KB 10. Boosting/7. Boosting vs. bagging.mp4 5.2 MB 10. Boosting/7. Boosting vs. bagging.vtt 3.5 KB 11. Clustering/1. Principal component anlysis introduction.mp4 8.6 MB 11. Clustering/1. Principal component anlysis introduction.vtt 4.2 KB 11. Clustering/10. Hierarchical clustering example.mp4 12 MB 11. Clustering/10. Hierarchical clustering example.vtt 6.2 KB 11. Clustering/2. Principal component analysis example.mp4 14 MB 11. Clustering/2. Principal component analysis example.vtt 6.5 KB 11. Clustering/3. K-means clustering introduction I.mp4 13.7 MB 11. Clustering/3. K-means clustering introduction I.vtt 6.9 KB 11. Clustering/4. K-means clustering introduction II.mp4 9.5 MB 11. Clustering/4. K-means clustering introduction II.vtt 4.5 KB 11. Clustering/5. K-means clustering example.mp4 9.4 MB 11. Clustering/5. K-means clustering example.vtt 5.4 KB 11. Clustering/6. K-means clustering - text clustering.mp4 18.9 MB 11. Clustering/6. K-means clustering - text clustering.vtt 7.7 KB 11. Clustering/7. DBSCAN introduction.mp4 11.1 MB 11. Clustering/7. DBSCAN introduction.vtt 5.4 KB 11. Clustering/8. DBSCAN example.mp4 7.9 MB 11. Clustering/8. DBSCAN example.vtt 5 KB 11. Clustering/9. Hierarchical clustering introduction.mp4 13.7 MB 11. Clustering/9. Hierarchical clustering introduction.vtt 7 KB 12. Neural Networks/1. ---- NEURAL NETWORKS INTRODUCTION ----.html 35 B 12. Neural Networks/10. ---- BACKPROPAGATION ----.html 42 B 12. Neural Networks/11. Feedforward neural networks.mp4 18.4 MB 12. Neural Networks/11. Feedforward neural networks.vtt 8.9 KB 12. Neural Networks/12. Optimization - cost function.mp4 25.9 MB 12. Neural Networks/12. Optimization - cost function.vtt 11.9 KB 12. Neural Networks/13. Simplified feedforward network.mp4 19.4 MB 12. Neural Networks/13. Simplified feedforward network.vtt 9 KB 12. Neural Networks/14. Feedforward neural network topology.mp4 14.7 MB 12. Neural Networks/14. Feedforward neural network topology.vtt 6.6 KB 12. Neural Networks/15. The learning algorithm.mp4 13.3 MB 12. Neural Networks/15. The learning algorithm.vtt 6 KB 12. Neural Networks/16. Error calculation.mp4 13.7 MB 12. Neural Networks/16. Error calculation.vtt 6.5 KB 12. Neural Networks/17. Gradient calculation I - output layer.mp4 20.3 MB 12. Neural Networks/17. Gradient calculation I - output layer.vtt 9.3 KB 12. Neural Networks/18. Gradient calculation II - hidden layer.mp4 9.2 MB 12. Neural Networks/18. Gradient calculation II - hidden layer.vtt 4.1 KB 12. Neural Networks/19. Backpropagation.mp4 12.7 MB 12. Neural Networks/19. Backpropagation.vtt 5.7 KB 12. Neural Networks/2. Axons and neurons in the human brain.mp4 19.2 MB 12. Neural Networks/2. Axons and neurons in the human brain.vtt 9.4 KB 12. Neural Networks/20. Backpropagation II.mp4 4.7 MB 12. Neural Networks/20. Backpropagation II.vtt 2 KB 12. Neural Networks/21. Applications of neural networks I - character recognition.mp4 8.8 MB 12. Neural Networks/21. Applications of neural networks I - character recognition.vtt 4.4 KB 12. Neural Networks/22. Applications of neural networks II - stock market forecast.mp4 9.5 MB 12. Neural Networks/22. Applications of neural networks II - stock market forecast.vtt 4.7 KB 12. Neural Networks/23. Deep learning.mp4 9.5 MB 12. Neural Networks/23. Deep learning.vtt 4.6 KB 12. Neural Networks/24. ----- IMPLEMENTATION -----.html 53 B 12. Neural Networks/25. Building networks.mp4 12.8 MB 12. Neural Networks/25. Building networks.vtt 6.5 KB 12. Neural Networks/26. Building networks II.mp4 12 MB 12. Neural Networks/26. Building networks II.vtt 5.9 KB 12. Neural Networks/27. Handling datasets.mp4 6.2 MB 12. Neural Networks/27. Handling datasets.vtt 3.1 KB 12. Neural Networks/28. Neural network example I - XOR problem.mp4 17.6 MB 12. Neural Networks/28. Neural network example I - XOR problem.vtt 7.8 KB 12. Neural Networks/29. Neural network example II - iris dataset.mp4 35.6 MB 12. Neural Networks/29. Neural network example II - iris dataset.vtt 8.1 KB 12. Neural Networks/3. Modeling human brain.mp4 16.2 MB 12. Neural Networks/3. Modeling human brain.vtt 8.3 KB 12. Neural Networks/4. Learning paradigms.mp4 6.5 MB 12. Neural Networks/4. Learning paradigms.vtt 3 KB 12. Neural Networks/5. Artificial neurons - the model.mp4 16.5 MB 12. Neural Networks/5. Artificial neurons - the model.vtt 7.4 KB 12. Neural Networks/6. Artificial neurons - activation functions.mp4 14.2 MB 12. Neural Networks/6. Artificial neurons - activation functions.vtt 6.6 KB 12. Neural Networks/7. Artificial neurons - an example.mp4 11.4 MB 12. Neural Networks/7. Artificial neurons - an example.vtt 4.8 KB 12. Neural Networks/8. Neural networks - the big picture.mp4 10.8 MB 12. Neural Networks/8. Neural networks - the big picture.vtt 4.8 KB 12. Neural Networks/9. Applications of neural networks.mp4 5.2 MB 12. Neural Networks/9. Applications of neural networks.vtt 2.4 KB 13. Machine Learning in Finance/1. Stock market basics.mp4 5.6 MB 13. Machine Learning in Finance/1. Stock market basics.vtt 3.5 KB 13. Machine Learning in Finance/2. Fetching data from Yahoo Finance.mp4 8 MB