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Showing posts with label probability. Show all posts
Showing posts with label probability. Show all posts
Sunday, July 18, 2021

An Introduction to Classification Algorithms with 10 fundamental questions | An Infographic Note with questions and answers

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  Questions Covered : Q1) What are Naive bayes Classifiers ? Q2) What do you mean by Probabilistic Classification ? Q3) What do you mean by ...
Thursday, May 6, 2021

Commutative property on Matrices is not applicable

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Basic Codes on Octave for Statistical Calculations on Matrices , Vectors

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Notes on Matrices , Properties of Matrices , Inverse Matrix and Transpose of a Matrix , Regression , Scenarios on Regression , Representation of Hypothesis Equation , Gradient Descent , Cost Function

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Tuesday, May 4, 2021

Short description of Gradient Descent Algorithm for checking convergence of hypothesis and cost functions - short notes with formula

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Monday, May 3, 2021

Linear Regression in One Variable ( Uni-variate ) expression with small short examples - short hand-written summary notes

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Friday, April 30, 2021

Updating Machine Learning Algorithms by Mini-Batch and Batch Wise

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*   Machine Learning boils down to an optimization problem in which one could look for a global minimum given a certain cost function  ...
Wednesday, April 28, 2021

The Learning Process of M.L Algorithms

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  *   During the process of optimization , the machine learning algorithm searches the possible variants of parameter combinations in order ...
Monday, April 26, 2021

The Various Categories of Machine Learning Algorithms with their Interpretational learnings

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Machine Learning has the three different flavours depending on the algorithm  and their objectives they serve . One can divide machine learni...
Wednesday, April 21, 2021

An article on - Conditioning Chance and Probability by Bayes Theorem

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Conditioning Chance & Probability by Bayes Theorem * Probability is one of the most key important factors that takes into effect the...