Knowledge in Introduction To Machine Learning
Introduction To Machine Learning
Lecture 01: Introduction Lecture 02: Different Types of Learning Lecture 03: Hypothesis Space and Inductive Bias
Kratika Agrawal
Regression Models in Machine Learning
Regression model estimates the nature of the relationship between the independent and dependent variables. Change in dependent variables that results from changes in independent variables, ie. size of the relationship. Strength of the relationship. Statistical significance of the relationship.
AKSHAT RAO PATIL
Perceptron convergence and updation
Machine learning part 2
Tanmay Mondal
Maximum margin classification
Machine learning part 3
Classification errors, regularization, logistic regression
Classification errors, regularization, logistic regression
Active learning (cont.), non-linear predictions, kernals
Active learning (cont.), non-linear predictions, kernals
Kernal regression and kernels
Kernal regression and kernels of machine learning
Model selection
Model selection in machine learning
Model selection criteria
Model selection criteria in machine learning
Machine learning with Python
Syllabus for Machine Learning with Python Programming Language
Ankush Saha
Machine learning syllabus
Syllabus of Machine Learning
Chandan Dey
Implementation of transfer learning
This file contains information of implementation learning and focusses on improving the knowledge in the area of machine learning. The file is equiped with basics of convolution neural network and artificial intelligence as well.
Abhishek Sharma