Episode Details

Does machine learning feel like too convoluted a topic? Not anymore!

Listen to hosts Lois Houston and Nikita Abraham, along with Senior Principal OCI Instructor Hemant Gahankari, talk about foundational machine learning concepts and dive into how supervised learning, unsupervised learning, and reinforcement learning work.

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Special thanks to Arijit Ghosh, David Wright, Himanshu Raj, and the OU Studio Team for helping us create this episode.

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Episode Transcript:

00:00

Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this

series of informative podcasts, we'll bring you foundational training on the most popular

Oracle technologies. Let's get started!

00:26

Lois: Hello and welcome to the Oracle University Podcast. I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Principal

Technical Editor.

Nikita: Hi everyone! Last week, we went through the basics of artificial intelligence and we're going to take it a step further today by talking about some foundational machine learning concepts. After that, we'll discuss the three main types of machine learning models: supervised learning, unsupervised learning, and reinforcement learning.

00:57

Lois: Hemant Gahankari, a Senior Principal OCI Instructor, joins us for this episode. Hi Hemant! Let's dive right in. What is machine learning? How does it work?

Hemant: Machine learning is a subset of artificial intelligence that focuses on creating computer systems that can learn and predict outcomes from given examples without being explicitly programmed. It is powered by algorithms that incorporate intelligence into machines by automatically learning from a set of examples usually provided as data.

01:34

Nikita: Give us a few examples of machine learning… so we can see what it can do for us.

Hemant: Machine learning is used by all of us in our day-to-day life.

When we shop online, we get product recommendations based on our preferences and our shopping history. This is powered by machine learning.

We are notified about movies recommendations based