45:57

Lecture 9. Agent based modeling and simulation.

11:40

Lecture 10. Making Data Science work in Business.

53:38

Lecture 8. Natural Language Processing & Large Language Models

44:18

Lecture 18. Diffusion of Information and Influence Maximization

33:37

Lecture 7. Demand forecasting. Time-series analysis.

43:31

Lecture 6. Personalization. Recommender Systems.

45:30

Lecture 5. Customer segmentation. Clustering and Dimensionality reduction.

01:15:04

Lecture 4. Telecoms. Churn prediction. Classification

01:00:19

Lecture 3. Data Science in Retail. Regression.

46:09

Lecture13.

49:58

Lecture 2. Introduction to Machine Learning

50:30

Lecture1. Introduction to Data Science.

14:13

Lecture10. Making models work in business. Concluding remarks.

48:47

Lecture7. Time series forecasting

44:45

Lecture 9. Agent based modeling.

24:40

Lecture8. Design of experiments.

01:00:02

Lecture 6. Personalization. Recommender systems

01:03:11

Lecture 5. Customer segmentation. Clustering

01:16:00

Lecture4. Customer relationship management. Churn prediction.Classification.

01:16:58

Lecture 3. Data Science in Retail. Regression

01:06:56

Lecture 2. Introduction to Machine Learning

01:03:10

Lecture1. Introduction to Data Science

58:34

Lecture15. Cascades in networks. Influence maximization

36:02

Lecture16. Knowledge graphs

36:48

Lecture13. Graph Embeddings

52:48

Lecture12. Link Prediction

49:15

Lecture11. Machine Learning on graphs. Node classification.

56:24

Lecture10. Epidemics on Networks II

01:03:30

Lecture9. Epidemics on networks I

01:10:17

Lecture8. Community detection

01:03:57

Lecture 7. Graph partitioning algorithms.

44:11

Lecture 6. Structural properties of networks

01:12:01

Lecture 5. Node centrality and ranking on networks.

01:00:11

Lecture 4. Network models.

01:06:32

Lecture 3. Random graphs.

01:06:40

Lecture 2. Power law and scale-free networks.

01:07:47

Lecture1. Introduction to Network Science.

35:07

Social Network Analysis. Lecture5. Network Structure.

01:17:04

Social Network Analysis. Lecture4. Network structure and community detection

01:20:55

Social Network Analysis Lecture 3. Node centrality metric and link analysis.

01:03:21

Social Network Analysis. Lecture1. Introduction to network analysis

39:22

Data Science for Business. Lecture 8. Design of experiments and A/B testing

01:21:34

Data Science for Business. Lecture 7. Personalization. Recommender systems. Association rules.

01:03:59

Data Science for Business . Lecture 6. Customer segmentation. Clustering.

01:05:51

Network Science. Lecture17. Agent based modeling. Spatial model of segragation

01:12:15

Network Science. Lecture16. Machine learning on graphs. Link prediction.

01:25:42

Data Science for Business. Lecture 5. Churn prediction. Classification

01:04:18

Network Science. Lecture15. Machine learning on graphs. Node classification.

01:11:53

Data Science for Business Lecture 4. Data Science in Retail. Forecasting with regression.

01:13:30

Network Science. Lecture14. Cascades in Networks

01:23:36

Network Science. Lecture13. Community detection

01:17:39

Data Science for Business. Lecture 3. Introduction to Machine Learning

01:20:30

Network Science. Lecture12 .Diffusion and random walks on graphs.

01:34:36

Network Science. Lecture11.Graph partitioning algorithms

01:11:22

Data Science for Business. Lecture 2. Exploratory Data Analysis

01:08:31

Data Science for Business. Lecture 1. Introduction to Data Science.

01:05:48

Mathematical Modeling of Epidemics. Lecture2: Epidemics on networks

01:01:39

Mathematical Modeling of Epidemics. Lecture 1: basic SI/SIS/SIR models explained.

57:26

Network Analysis. Lecture 19. Models of spatial segregation

01:46:57

Network Analysis. Lecture 15. Diffusion of innovation and influence maximization.