Все публикации

0:45:57

Lecture 9. Agent based modeling and simulation.

0:11:40

Lecture 10. Making Data Science work in Business.

0:53:38

Lecture 8. Natural Language Processing & Large Language Models

0:44:18

Lecture 18. Diffusion of Information and Influence Maximization

0:33:37

Lecture 7. Demand forecasting. Time-series analysis.

0:43:31

Lecture 6. Personalization. Recommender Systems.

0:45:30

Lecture 5. Customer segmentation. Clustering and Dimensionality reduction.

1:15:04

Lecture 4. Telecoms. Churn prediction. Classification

1:00:19

Lecture 3. Data Science in Retail. Regression.

0:46:09

Lecture13.

0:49:58

Lecture 2. Introduction to Machine Learning

0:50:30

Lecture1. Introduction to Data Science.

0:14:13

Lecture10. Making models work in business. Concluding remarks.

0:48:47

Lecture7. Time series forecasting

0:44:45

Lecture 9. Agent based modeling.

0:24:40

Lecture8. Design of experiments.

1:00:02

Lecture 6. Personalization. Recommender systems

1:03:11

Lecture 5. Customer segmentation. Clustering

1:16:00

Lecture4. Customer relationship management. Churn prediction.Classification.

1:16:58

Lecture 3. Data Science in Retail. Regression

1:06:56

Lecture 2. Introduction to Machine Learning

1:03:10

Lecture1. Introduction to Data Science

0:58:34

Lecture15. Cascades in networks. Influence maximization

0:36:02

Lecture16. Knowledge graphs