'Course Overview (cont'd)' Video Lecture
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Course Video Lectures Course Overview Course Overview (cont'd) Descriptive Statistics - Graphical Approaches Descriptive Statistics - Measures of Central .. Descriptive Statistics - Measures of Dispersi.. Random Variables and Probability Distribution.. Probability Distributions(contd) Probability Distributions(contd) Inferential Statistics - Motivation Inferential Statistics - Single sample tests Two Sample tests Type 1 and Type 2 Errors Confidence Intervals ANOVA and Test of Independence Short Introduction to Regression Introduction to Machine Learning Supervised Learning Unsupervised Learning Ordinary Least Squares Regression Simple and Multiple Regression in Excel and M.. Regularization/ Coefficients Shrinkage Data Modelling and Algorithmic Modelling Appr.. Logistic Regression Training a Logistic Regression Classifier Classification and Regression Trees Classification and Regression Trees(contd) Bias Variance Dichotomy Model Assessment and Selection Support Vector Machines Support Vector Machines(contd) Support Vector Machines for Non Linearly Sepa.. Support Vector Machines and Kernel Transforma.. Ensemble Methods and Random Forests Artificial Neural Networks Artificial Neural Networks(cont\'d) Deep Learning Associative Rule Mining Association Rule Mining (contd) Big Data, A small introduction Big Data - A small introduction (contd) Clustering Analysis Clustering Analysis (contd) Introduction to Experimentation and Active Le.. Introduction to Experimentation and Active Le.. An Introduction to Online Learning - Reinforc.. An Introduction to Online Learning - Reinforc.. Summary+ Insights into the Final Exam
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