Simpler linear Regression: target varaible as a linear Function

machine learning is a specific subset of artificial intelligence that trains a machine how to learn 

it is based on algorithms

   scalar values non boldface and lowercase

   random variables; non boldface and uppercase

   vector: bld and lowercase

   matrice

Neural networks 

Three ensemble method

pruning

direct size regulation

Decision tree: 

A decision tree is an interpretable machine learning method for regression and classification.

Generative classifier

Classification 

regression

logistic regression

fisher linear discriminant

Linear regression extensions

i. regularized regression

ii. bayesian regression

iii. generalized linear models (GLMs)

What is machine learning?

a specific subset of artificial intelligence that trains a machine how to learn. 

Highly appriciated on such informative lecture.

Machine learning is used in computational finace, image processing and computer vision, computational biology, energy production, natural language processing. 

Ordinary linear regression: Minimizing Loss and Maximizing Likelihood

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