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Understanding Machine Learning [A laymans perspective] by @Shivadasharathi

Understanding machine learning

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Machine Learning at a higher level ..

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Page 1: Understanding machine learning

Understanding Machine Learning

[A laymans perspective]

by @Shivadasharathi

Page 2: Understanding machine learning

Introduction:

- What is ML- Analysis Vs Predictions- Applications of ML

Page 3: Understanding machine learning

Dichotomies

- Supervised Vs Un-supervised- Parametric Vs Non-

parametric- ProbabilisticVs Deterministc

Page 4: Understanding machine learning

Data Representation:

Vectors/Matrices

Page 5: Understanding machine learning

Statistics:

ParametersDistributionsProbability Random variables

Page 6: Understanding machine learning

A few Learning Algorithms:

RegressionCollaborative FilteringClusteringClassification

Page 7: Understanding machine learning

Similarities

CosineEuclidianPearsonJaccardTanimoto

Page 8: Understanding machine learning

Removing Noise:

PCA, SVDFactor Analysis

Page 9: Understanding machine learning

Evaluation & Error:Confusion MatrixPrecision – RecallF-Score G-ScoreROC curvesRMSEVariance – Bias

Page 10: Understanding machine learning

Thank you for visiting !!

The explanations will be updated shortly


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