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A.I, Data and Software Engineering

Categorydata science

WHAT IS P-VALUE?

Petamind A.I

In statistics, the p-value is the probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct. The p-value is used as an alternative to rejection points of significance at which the null hypothesis would be rejected. A smaller p-value means that there is stronger evidence in favor of the alternative...

Welcome 2021 with some fun

Wonder how these kids are doing now? Their answers are brilliantly fun. Some are typical examples of out of box thinking and it is really good for creativity. Imagination is more important than knowledgeAlbert Einstein Image credits: Douglass Image credits: Douglass Source: imgur Source: clivewhite.co.uk Source: funcage.com Source: imgur Source: picslap.com Source: addfunny.com Source: alittle...

Predictor VS. Estimator quick note

Petamind A.I

There is much confusion for beginners in machine learning. One of the frequently asked questions is the difference between predictor vs. estimator. Let get some note: Different usage “Prediction” and “estimation” indeed are sometimes used interchangeably in non-technical writing and they seem to function similarly, but there is a sharp distinction between them in the...

Asteroid Collision Solution – Leetcode coding challenge

meme angry

The following asteroid collision problem is from Leetcode. The problem We are given an array asteroids of integers representing asteroids in a row. For each asteroid, the absolute value represents its size, and the sign represents its direction (positive meaning right, negative meaning left). Each asteroid moves at the same speed. Find out the state of the asteroids after all collisions. If two...

Decision Tree Regression quick note

Petamind A.I

Decision tree builds regression or classification models in the form of a tree structure. It breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed. The final result is a tree with decision nodes and leaf nodes. A decision node (e.g., Outlook) has two or more branches (e.g., Sunny, Overcast and Rainy), each representing...

A.I, Data and Software Engineering

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