Machine Learning Bell Labs Huang Dawei

Machine learning is the study of how computers can simulate or implement human learning behavior to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their own performance.

• Chapter 1：Introduction to Machine Learning (1) (18 minutes and 37 seconds)

• Chapter 2：Introduction to Machine Learning (2) (18 minutes and 33 seconds)

• Chapter 3：Introduction to Machine Learning (3) (18 minutes and 43 seconds)

• Chapter 4：Introduction to Machine Learning (4) (22 minutes and 26 seconds)

• Chapter 5：Supervised learning (1) (18 minutes and 18 seconds)

• Chapter 6：Supervised learning (2) (18 minutes and 0 seconds)

• Chapter 7：forest road (1) (18 minutes and 28 seconds)

• Chapter 8：Forest Road (2) (18 minutes and 52 seconds)

• Chapter 9：Forest Road (3) (19 minutes and 35 seconds)

• Chapter 10：Use unsupervised learning methods to investigate images (1) (18 minutes and 31 seconds)

• Chapter 11：Use unsupervised learning methods to investigate images (2) (20 minutes and 34 seconds)

• Chapter 12：Use unsupervised learning methods to investigate images (3) (19 minutes and 55 seconds)

• Chapter 13：Use unsupervised learning methods to investigate images (4) (19 minutes and 7 seconds)

• Chapter 14：Use unsupervised learning methods to investigate images (5) (18 minutes and 31 seconds)

• Chapter 15：Use unsupervised learning methods to investigate images (6) (21 minutes and 57 seconds)

• Chapter 16：Clustering method (1) (22 minutes and 50 seconds)

• Chapter 17：Clustering method (2) (22 minutes and 52 seconds)

• Chapter 18：Clustering (1) (20 minutes and 21 seconds)

• Chapter 19：Clustering (2) (19 minutes and 24 seconds)

• Chapter 20：Clustering (3) (20 minutes and 43 seconds)

• Chapter 21：Non-parametric method (1) (18 minutes and 9 seconds)

• Chapter 22：Non-parametric method (2) (20 minutes and 20 seconds)

• Chapter 23：Non-parametric methods (3) (28 minutes and 15 seconds)

• Chapter 24：Diversification and Parametric Analysis (1) (20 minutes and 54 seconds)

• Chapter 25：Diversification and Parametric Analysis (2) (20 minutes and 37 seconds)

• Chapter 26：Diversification and Parametric Analysis (3) (17 minutes and 1 seconds)

• Chapter 27：Diversification and Parametric Analysis (4) (19 minutes and 15 seconds)

• Chapter 28：Diversification and Parametric Analysis (5) (18 minutes and 9 seconds)

• Chapter 29：Diversification and Parametric Analysis (6) (21 minutes and 38 seconds)

• Chapter 30：Machine Learning (1) (19 minutes and 51 seconds)

• Chapter 31：31 Machine Learning (2) (17 minutes and 50 seconds)

• Chapter 32：Machine Learning (3) (22 minutes and 3 seconds)

• Chapter 33：Machine Learning (4) (21 minutes and 38 seconds)

• Chapter 34：Machine Learning (5) (22 minutes and 53 seconds)

• Chapter 35：Multi-layer sensor (1) (20 minutes and 14 seconds)

• Chapter 36：Multi-layer sensor (2) (18 minutes and 30 seconds)

• Chapter 37：Multi-layer sensor (3) (22 minutes and 7 seconds)

• Chapter 38：Multi-layer sensor (4) (19 minutes and 31 seconds)

• Chapter 39：Multi-layer sensor (5) (20 minutes and 17 seconds)

• Chapter 40：Multi-layer sensor (6) (17 minutes and 54 seconds)

• Chapter 41：Multi-layer sensor (7) (18 minutes and 48 seconds)

• Chapter 42：Multi-layer sensor (8) (19 minutes and 6 seconds)

• Chapter 43：Multi-layer sensor (9) (17 minutes and 28 seconds)

• Chapter 44：Multi-layer sensor (10) (18 minutes and 52 seconds)

• Chapter 45：Multi-layer sensor (11) (19 minutes and 20 seconds)

• Chapter 46：Multi-layer sensor (12) (21 minutes and 48 seconds)