Data Science, Machine Learning & AI Explained: What's the Difference? 🤖

In this video, I talk about the similarities and differences between Data Science, Machine Learning, and Artificial intelligence.

#DataScience #MachineLearning #AI

kennethjee.com
https://github.com/PlayingNumbers
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Data Science - An ensemble field that combines aspects of statistics, computer science, and information science. Data science involves data manipulation (SQL / NOSQL), descriptive analysis, and advanced analysis (ML techniques)

Machine Learning - A subset of data science. This focuses mainly on two types of algorithms. Supervised and unsupervised learning. Supervised learning usually refers to classification and regression problem, while unsupervised learning relates to feature reduction or clustering algorithms.

Artificial Intelligence - Barrows from some parts of machine learning, but a portion of it sits outside of data science or ML. There are generally two types specialized intelligence and generalized intelligence. Specialized intelligence focuses on replicating human decision making in a small feature space. Generalized intelligence aims to recreate the entirety of the human decision making process.

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My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
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