Course Syllabus
MACHINE LEARNING COURSE HIGHLIGHTS
Machine Learning has been gaining popularity for quite some time and is currently in high-demand. Machine Learning is an exciting career path for both freshers and experienced individuals.
Supervised
Unsupervised
Reinforcement
Regression
Linear Regression
Logistic Regression
Into
Types
Algorithm
Implementation
Into
Algorithm
Hyperplane and kernels
Random Forest
Theory
Algorithm
Entropy and Decision Tree
Classification
Intro
Theory of Classification
Bayes Theorem
Algorithm
Limitations, Practical Applications
Theory
Algorithm
Distance Functions
Euclidean
Hamming
Minkowski
Practical application
Intro
Types of boosting
Gradient descent
Practical application
Intro
Concepts
NLP (Natural Language Processing)
Practical Application
Intro
Artificial Neural Network(ANN)
Feature Learning and Engineering
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