Topic: machine-learning
Feed Forward in Neural Networks
Flow of Information in Neural Networks Comprehension - Count of Pixels Dimensions in a Neural Network Input Vector Weight Matrix Example…
Advance Regression - Ridge, Lasso, Gradient Descent
Constrained Minimization Ridge and Lasso Regression Signature of overfitting in Polynomial Regression Ridge Lasso Unconstrained Minimization…
Introduction to Neural Networks
Purpose Artificial Neural Networks (ANNs) Bottlenecks with Neural Networks Deep Learning Applications Human Brain Simplified Human Brain…
Model Selection
Purpose Choice of Model Selection Practical Issues Domain Knowledge Class of Models Occams Razor Which model should be picked Example…
Linear Regression in the Industry
Purpose Understanding the use of Linear Regression in the Industry / Real World Uses Forecasting Prediction Linear Regression can show…
Receiver Operating Characteristic (ROC) Curve
Purpose Understanding ROC Curve ROC ROC stands for Receiver Operating Characteristic curve. This name has emerged from the domain of…
Maximum Likelihood Estimation
Purpose Cost Function Closed Form Iterative Method Random Variables Maximum Likelihood Cost Function What is MLE Finding Parameters of…
Important Topics from Stats and ML
Random Variable which maps the output of a random experiment to a numerical value Radom Experiment Example: tossing a coin Expected Value…
Multiple Linear Regression
Purpose Effect of adding more variables on $R^2$ Formulation of Multiple Linear Regression Interpretation of the coefficients Some aspects…
Naive Bayes Classification
Purpose Notes on Naive Bayes Classifier About Naive Bayes is a probabilistic classifier which returns the probability of a test point…
Data Science and Aritificial Intelligence
Notes from Live Session Impact Impact on Banking Impact on Retail - Snapdeal Impact on IT Industry Impact on Retail - BigBasket Data Element…
Linear Regression
Table of Contents Table of Contents Purpose What are some examples of Machine Learning Model Types of Models Supervised vs Unsupervised…
Logistic Regression
Purpose Exponential Functions Laws of Exponents Logarithm Property Note Solving Equations containing exponents Properties of Logarithms…
Machine Learning References
One Hot Encoding Why One Hot Encoding? Hackernoon Wikipedia