ABCD Lab

Course Description

In this course, you’ll explore how machines are trained to recognize patterns and make decisions based on information, much like we do. We’ll explain the basics of this process, how it affects everything from online shopping to fraud detection, and the benefits it brings to many industries, all without diving into complicated tech jargon.

* What does it mean for machines to "learn"?

* Comparing machine learning to human learning

* Basic concepts of "training" machines

* Using examples to teach machines

* How machines become smarter over time

* Learning from examples (Supervised learning)

* Finding patterns without labels (Unsupervised learning)

* Learning through trial and error (Reinforcement learning)

* Mixing labeled and unlabeled data

* How machines adapt from previous experiences

* Identifying patterns in data

* Using past experiences to predict future outcomes

* Why mistakes are part of the learning process

* Measuring success and failure of predictions

* Simple examples: how online shops suggest products

* Personalized recommendations (Netflix, YouTube)

* Detecting fraud in banking systems

* Predicting trends in markets (stock prices)

* How smart photos and videos work on social media

* Helping voice assistants improve with use

* How machine learning is changing the way we shop, work, and travel

* Ethical issues around using personal data

* Why privacy matters in machine learning

* The role of machines in solving bigger global problems

* How machine learning could evolve in the next decade

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₹ 499/class

₹ 699/class

Free Query?

Course Includes

Lectures

10 Classes

Duration

N/A Hours

Level

Beginner

Language

English

Certificate

Yes

School

₹ 599/class

₹ 799/class

Free Query?

Course Includes

Lectures

10 Classes

Duration

N/A Hours

Level

Beginner

Language

English

Certificate

Yes

Requirements

Learning Path

Beginner

Intermediate

Advanced

Master

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Artificial Intelligence

Beyond Basics

AI Foundations

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Abcd lab

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Module-1 : Understanding How Machines Learn (5 Lectures)

Module-2 : Different Types of Learning for Machines (5 Lectures)

Module-3 : How Machines Make Decisions (5 Lectures)

Module-4 : Machines in Action: Real-Life Examples (5 Lectures)

Module-5 : Looking Ahead: The Future of Machine Learning (5 Lectures)

Educator

Leave a Review

Requirements

Learning Path

Complete your course and get certified instantly!

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