Leonid Zhukov

Lecture 9. Agent based modeling and simulation.

Lecture 10. Making Data Science work in Business.

Lecture 8. Natural Language Processing & Large Language Models

Lecture 18. Diffusion of Information and Influence Maximization

Lecture 7. Demand forecasting. Time-series analysis.

Lecture 6. Personalization. Recommender Systems.

Lecture 5. Customer segmentation. Clustering and Dimensionality reduction.

Lecture 4. Telecoms. Churn prediction. Classification

Lecture 3. Data Science in Retail. Regression.

Lecture13.

Lecture 2. Introduction to Machine Learning

Lecture1. Introduction to Data Science.

Lecture10. Making models work in business. Concluding remarks.

Lecture7. Time series forecasting

Lecture 9. Agent based modeling.

Lecture8. Design of experiments.

Lecture 6. Personalization. Recommender systems

Lecture 5. Customer segmentation. Clustering

Lecture4. Customer relationship management. Churn prediction.Classification.

Lecture 3. Data Science in Retail. Regression

Lecture 2. Introduction to Machine Learning

Lecture1. Introduction to Data Science

Lecture15. Cascades in networks. Influence maximization

Lecture16. Knowledge graphs

Lecture13. Graph Embeddings

Lecture12. Link Prediction

Lecture11. Machine Learning on graphs. Node classification.

Lecture10. Epidemics on Networks II

Lecture9. Epidemics on networks I

Lecture8. Community detection