| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Course Overview | Download Verified |
| 2 | Course Overview (cont'd) | Download Verified |
| 3 | Descriptive Statistics - Graphical Approaches | Download Verified |
| 4 | Descriptive Statistics - Measures of Central Tendency | Download Verified |
| 5 | Descriptive Statistics - Measures of Dispersion | Download Verified |
| 6 | Random Variables and Probability Distributions | Download Verified |
| 7 | Probability Distributions(contd) | Download Verified |
| 8 | Probability Distributions(contd) | Download Verified |
| 9 | Inferential Statistics - Motivation | Download Verified |
| 10 | Inferential Statistics - Single sample tests | Download Verified |
| 11 | Two Sample tests | Download Verified |
| 12 | Type 1 and Type 2 Errors | Download Verified |
| 13 | Confidence Intervals | Download Verified |
| 14 | ANOVA and Test of Independence | Download Verified |
| 15 | Short Introduction to Regression | Download Verified |
| 16 | Introduction to Machine Learning | Download Verified |
| 17 | Supervised Learning | Download Verified |
| 18 | Unsupervised Learning | Download Verified |
| 19 | Ordinary Least Squares Regression | Download Verified |
| 20 | Simple and Multiple Regression in Excel and Matlab | Download Verified |
| 21 | Regularization/ Coefficients Shrinkage | Download Verified |
| 22 | Data Modelling and Algorithmic Modelling Approaches | Download Verified |
| 23 | Logistic Regression | Download Verified |
| 24 | Training a Logistic Regression Classifier | Download Verified |
| 25 | Classification and Regression Trees | Download Verified |
| 26 | Classification and Regression Trees(contd) | Download Verified |
| 27 | Bias Variance Dichotomy | Download Verified |
| 28 | Model Assessment and Selection | Download Verified |
| 29 | Support Vector Machines | Download Verified |
| 30 | Support Vector Machines(contd) | Download Verified |
| 31 | Support Vector Machines for Non Linearly Separable Data | Download Verified |
| 32 | Support Vector Machines and Kernel Transformations | Download Verified |
| 33 | Ensemble Methods and Random Forests | Download Verified |
| 34 | Artificial Neural Networks | Download Verified |
| 35 | Artificial Neural Networks(cont\'d) | Download Verified |
| 36 | Deep Learning | Download Verified |
| 37 | Associative Rule Mining | Download Verified |
| 38 | Association Rule Mining (contd) | Download Verified |
| 39 | Big Data, A small introduction | Download Verified |
| 40 | Big Data - A small introduction (contd) | Download Verified |
| 41 | Clustering Analysis | Download Verified |
| 42 | Clustering Analysis (contd) | Download Verified |
| 43 | Introduction to Experimentation and Active Learning | Download Verified |
| 44 | Introduction to Experimentation and Active Learning(contd) | Download Verified |
| 45 | An Introduction to Online Learning - Reinforcement Learning | Download Verified |
| 46 | An Introduction to Online Learning - Reinforcement Learning (contd) | Download Verified |
| 47 | Summary+ Insights into the Final Exam | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 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 |