Daily update | 26 January, 2022

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Medium


What is Machine Learning?

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Author: Aravind J
Claps: 121
Source: artificial-intelligence
Description: Machine Learning is a discipline that deals with programming the systems so as to make them automatically learn and improve with…


Top Tips to Google Search Like a Seasoned Data Scientist

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Author: Kenneth Leung
Claps: 115
Source: machine-learning
Description: Learn about advanced Google Search features to boost your efficiency in finding data science solutions


K-Means Clustering: Explain It To Me Like I’m 10

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Author: Shreya Rao
Claps: 75
Source: machine-learning
Description: A friendly introduction to a perennially popular clustering algorithm


How to Apply Artificial Intelligence to Solve Business Problems

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Author: John Ade-Ojo
Claps: 65
Source: data-science
Description: A methodology for building impactful AI solutions in practice.


How I started writing Data Science blog posts: overcoming fear and procrastination

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Author: Chris Hughes
Claps: 61
Source: data-science
Description: if you are a busy Data Scientist who has been meaning to start writing blog posts for a while, this might help you getting started.

StackExchange


The use of a pseudo variance $\int_{-\infty}^\infty \text{sign}(x) (x-\mu)^2 f(x) dx$ in place of $\int_{-\infty}^\infty (x-\mu)^2 f(x) dx$

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Source: stats
Views: 29
Score: 4
Tags: mathematical-statistics variance terminology median moments


Can I interprete coefficients for "Year" as differences between years that are not explained by my predictors?

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Source: stats
Views: 83
Score: 4
Tags: r multiple-regression regression-coefficients splines regression-strategies


Regression Notation - does the distribution of $y_i$ refer to the distribution of $(Y|X)$?

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Source: stats
Views: 39
Score: 3
Tags: regression normality-assumption notation


Inconsistent result in proportion test in R

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Source: stats
Views: 151
Score: 2
Tags: r hypothesis-testing inference ab-test


Predicting a continuous outcome from trichotomic variables

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Source: stats
Views: 9
Score: 2
Tags: regression categorical-data continuous-data

The End