Leonid Zhukov

Data Science lectures from Professor of Computer Science at HSE University, CEO of Artificial Intelligence Research Institute (AIRI) & Sber AI Lab Director.

Lecture 9. Agent based modeling and simulation.

Lecture 9. Agent based modeling and simulation.
Lecture 10. Making Data Science work in Business.

Lecture 10. Making Data Science work in Business.
Lecture 8. Natural Language Processing & Large Language Models

Lecture 8. Natural Language Processing & Large Language Models
Lecture 18. Diffusion of Information and Influence Maximization

Lecture 18. Diffusion of Information and Influence Maximization
Lecture 7. Demand forecasting. Time-series analysis.

Lecture 7. Demand forecasting. Time-series analysis.
Lecture 6. Personalization. Recommender Systems.

Lecture 6. Personalization. Recommender Systems.
Lecture 5. Customer segmentation. Clustering and Dimensionality reduction.

Lecture 5. Customer segmentation. Clustering and Dimensionality reduction.
Lecture 4. Telecoms. Churn prediction. Classification

Lecture 4. Telecoms. Churn prediction. Classification
Lecture13.

Lecture13.
Lecture 2. Introduction to Machine Learning

Lecture 2. Introduction to Machine Learning
Lecture1. Introduction to Data Science.

Lecture1. Introduction to Data Science.
Lecture10. Making models work in business. Concluding remarks.

Lecture10. Making models work in business. Concluding remarks.
Lecture7. Time series forecasting

Lecture7. Time series forecasting
Lecture 9. Agent based modeling.

Lecture 9. Agent based modeling.
Lecture8. Design of experiments.

Lecture8. Design of experiments.
Lecture 5. Customer segmentation. Clustering

Lecture 5. Customer segmentation. Clustering
Lecture4. Customer relationship management. Churn prediction.Classification.

Lecture4. Customer relationship management. Churn prediction.Classification.
Lecture 3. Data Science in Retail. Regression

Lecture 3. Data Science in Retail. Regression
Lecture 2. Introduction to Machine Learning

Lecture 2. Introduction to Machine Learning
Lecture1. Introduction to Data Science

Lecture1. Introduction to Data Science
Lecture15. Cascades in networks. Influence maximization

Lecture15. Cascades in networks. Influence maximization
Lecture16. Knowledge graphs

Lecture16. Knowledge graphs
Lecture13. Graph Embeddings

Lecture13. Graph Embeddings
Lecture12. Link Prediction

Lecture12. Link Prediction
Lecture11. Machine Learning on graphs. Node classification.

Lecture11. Machine Learning on graphs. Node classification.
Lecture10. Epidemics on Networks II

Lecture10. Epidemics on Networks II
Lecture9. Epidemics on networks I

Lecture9. Epidemics on networks I
Lecture8. Community detection

Lecture8. Community detection