Machine Learning Basics

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Basics

Applications of machine learning

Model

for solving a problem, we divide the experiences into a concept like you wouldn't expect exact same problem/experience which you got earlier, but a little different, so you try to learn on the concept. The concept is what is called the model in ML.

training

Flow

Bias

ML steps

Feature

Can be of following types

Types of ML algos

Supervised Learning Algos and usages

Unsupervised learning

Meta Learning Algorithms

Other

Bagging

Boosting

Types of Results