Data Science vs Machine Learning explained in 20 minutes | Data Science Course | Great Learning

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Here’s a video on Data Science vs Machine Learning Explained! Data Science is a field of study involving the utilisation of scientific algorithms, methods and processes to study data and extract information, whereas we understand Machine Learning, a subset of Artificial Intelligence, as a computer being programmed with the ability to self-learn and improve itself on a particular task. Both Data Science and Machine Learning are supremely favoured domains today. In this battle of Data Science and Machine Learning, both have their significant pros and cons, and that’s why it becomes important to understand which is which.

Great Learning brings you this comparative video discussing the differences between Data Science and Machine Learning on a variety of grounds such as fundamental working, skills required, popular tools, applications and so on. We look at how to differentiate between the two in this interactive video. This video explains these concepts in detail with the help of a thorough explanation to give you a clear idea of the differences between Data Science and Machine Learning, as well as the relevant similarities.

🏁 Topics Covered:
00:00 Introduction
01:53 Agenda
02:30 Applications of Data Science and Machine Learning
08:35 Data Science Architecture
11:07 Data Science vs Machine Learning
20:12 Summary

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