A.I, Data and Software Engineering

Categorydata science

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...

Feature Engineering FundamentalS

Petamind A.I

The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct feature engineering.— Luca Massaron What is a feature and why we need engineering of it? Basically, all machine learning algorithms use some input data to create outputs. This input data comprise features, which are usually in the form...

A.I, Data and Software Engineering

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