Beta Distribution-A MINI comprehensive review

AAWEG I *We put ghosts in machines *

11 min readMay 6

--

Beta distribution is commonly used as a prior distribution in Bayesian statistics, particularly for modeling probabilities that are bounded between 0 and 1. It is characterized by two parameters, alpha and beta, which control the shape of the distribution.

1. INTUITION

One way to think about the beta distribution is to consider it as a way of modeling…

AAWEG I *We put ghosts in machines *

Written by AAWEG I We put ghosts in machines

linkedin.com/in/aaweg-i | github.com/the-ogre

More from AAWEG I We put ghosts in machines

AAWEG I *We put ghosts in machines *

Time Series Forecasting: A Comparative Analysis of SARIMAX and XGBoost Algorithms

SARIMAX (Seasonal Autoregressive Integrated Moving Average with Exogenous Variables) and XGBoost are both popular algorithms used for time…

3 min readMay 14

--

AAWEG I *We put ghosts in machines *
in
Aaweg Interview

Can you explain Jaccard’s Index? How does it differ from Dice Coefficient?

In object detection, there are two distinct tasks to measure:

6 min readNov 27, 2022

--

AAWEG I *We put ghosts in machines *
in
Aaweg Interview

Can you tell us something about ‘Global Average Pooling’?

A typical classifier, except the last two/few layers, is nothing but a feature extractor.

3 min readNov 29, 2022

--

AAWEG I *We put ghosts in machines *
in
Literary Impulse

Exploring the Fragility of Power and Empire: A Critical Reading of Ryan Keating’s ‘Crushing Snails’…

Delve into the thought-provoking poem “Crushing Snails” by Ryan Keating, which vividly describes the interconnectedness of ancient empires…

3 min read6 days ago

--

See all from AAWEG I *We put ghosts in machines *

Recommended from Medium

Matt Crooks
in
Towards Data Science

A Review of Propensity Score Modelling Approaches

A review of different approaches to using propensity scores in causal inference modelling

11 min readMay 17

--

Michał Oleszak
in
Towards Data Science

How to Detect Data Drift with Hypothesis Testing

Hint: forget about the p-values

18 min readMay 17

--

Lists

What is ChatGPT?

9 stories57 saves

Staff Picks

323 stories82 saves

Dr. Roi Yehoshua
in
Towards Data Science

Deep Dive into Softmax Regression

Understand the math behind softmax regression and how to use it to solve an image classification task

13 min read2 days ago

--

Dr. Roi Yehoshua
in
Towards Data Science

Mastering Logistic Regression

From theory to implementation in Python

17 min readMay 20

--

Luís Roque
in
Towards Data Science

Primer on Bayesian Deep Learning

Probabilistic Deep Learning

8 min readFeb 1

--

Yearly timeline, from 2012 to 2023, highlighting the most significant advances in AI.

Thomas A Dorfer
in
Towards Data Science

Ten Years of AI in Review

From image classification to chatbot therapy

15 min read4 days ago

--

See more recommendations

Help
Status
Writers
Blog
Careers
Privacy
Terms
About
Text to speech