| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 01 : Introduction | Download Verified |
| 2 | Lecture 02 : Basics of Spatio-Temporal Modeling | Download Verified |
| 3 | Lecture 03 : Geostatistical Equation for Spatio-Temporal Process | Download Verified |
| 4 | Lecture 04 : Gaussian Process Regression and Inverse Problems | Download Verified |
| 5 | Lecture 05 : Anomaly Event Detection | Download Verified |
| 6 | Lecture 06 : Extreme Events | Download Verified |
| 7 | Lecture 07 : Extreme Value Theory | Download Verified |
| 8 | Lecture 08 : Causality | Download Verified |
| 9 | Lecture 09 : Networks | Download Verified |
| 10 | Lecture 10 : Data Assimilation | Download Verified |
| 11 | Lecture 11 : Challenges and Opportunities for ML in ESS | Download Verified |
| 12 | Lecture 12 : Types of Machine Learning Problems in ESS | Download Verified |
| 13 | Lecture 13 : Convolutional Networks for Spatial Problems | Download Verified |
| 14 | Lecture 14 : Sequential Models for Temporal Problems | Download Verified |
| 15 | Lecture 15 : Probabilistic Models for Earth System Science | Download Verified |
| 16 | Lecture 16 : Identification of Indian Monsoon Predictors | Download Verified |
| 17 | Lecture 17 : Statistical Downscaling of Rainfall with Machine Learning | Download Verified |
| 18 | Lecture 18 : Detection of Anomaly and Extreme Events | Download Verified |
| 19 | Lecture 19 : Identifying Causal Relations from Time-Series - 1 | Download Verified |
| 20 | Lecture 20 : Identifying Causal Relations from Time-Series - 2 | Download Verified |
| 21 | Lecture 21 : Spatio-Temporal Modelling of Extremes | Download Verified |
| 22 | Lecture 22 : Hierarchical Bayesian Models for Spatio-Temporal Processes | Download Verified |
| 23 | Lecture 23 : Geostatistical modelling for mapping based on in-situ measurements | Download Verified |
| 24 | Lecture 24 : Nowcasting of Extreme Weather Events | Download Verified |
| 25 | Lecture 25 : Discovering Clustered Weather Patterns | Download Verified |
| 26 | Lecture 26 : Interpretable Machine Learning for Earth System Science | Download Verified |
| 27 | Lecture 27 : Object Detection in Satellite Imagery | Download Verified |
| 28 | Lecture 28 : Object Detection in Satellite Imagery - 2 | Download Verified |
| 29 | Lecture 29 : Image Fusion from Multiple Sources for Remote Sensing | Download Verified |
| 30 | Lecture 30 : Image Segmentation for Remote Sensing | Download Verified |
| 31 | Lecture 31 : Satellite Imagery as a Proxy for Geophysical Measurements | Download Verified |
| 32 | Lecture 32 : Precipitation Nowcasting from Remote Sensing | Download Verified |
| 33 | Lecture 33 : Deep Domain Adaptation for Remote Sensing | Download Verified |
| 34 | Lecture 34 : Introduction to Earth System Modelling | Download Verified |
| 35 | Lecture 35 : Stochastic Weather Generator | Download Verified |
| 36 | Lecture 36 : Physics-Inspired Machine Learning for Process Models - 1 | Download Verified |
| 37 | Lecture 37 : Physics-Inspired Machine Learning for Process Models - 2 | Download Verified |
| 38 | Lecture 38 : Parameterizations for Sub-Grid Processes Using ML | Download Verified |
| 39 | Lecture 39 : Data Assimilation for Earth System Model Correction | Download Verified |
| 40 | Lecture 40 : ML for Climate Change Projection & Course Conclusion | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |