ML Fundamental

 Navigating the ML Landscape: A Beginner's Guide

Learning Outcome

5

Recognize the standard Machine Learning workflow

4

Identify the right ML approach for a given real-world problem.

3

Distinguish between Regression (predicting numbers) and Classification (predicting categories).

2

Map out the three major domains: Supervised, Unsupervised, and Reinforcement Learning

1

Understand the difference between Traditional Programming and ML

The Spam Filter Dilemma

Traditional Programming

The Rule-Maker Approach

Machine learning approach

The student approach

The Paradigm Shift

DATA + ANSWER

= RULES

Machine learning

Algorithms learn patterns from historical data

Traditional approach

We write explicit rules to solve problems

DATA + RULES

= ANSWER

DATA + RULES

= ANSWER

Giving history test answers → Writing the textbook

Transition from Analogy to Technical Concept(Slide 5)

Core Concepts (Slide 6)

Core Concepts (Slide 7)

Core Concepts (.....Slide N-3)

Summary

5

Build strong branding

4

Use different marketing channels

3

Target the right audience

2

Create and communicate value

1

Understand customer needs

Choose cool, soft colors instead of vibrant colors
Max 5 Points for Summary & Min 2

Quiz

Which platform is mainly used for professional networking and B2B marketing ?

A. Facebook

B. Instagram

C. LinkedIn

D. Snapchat

Quiz-Answer

Which platform is mainly used for professional networking and B2B marketing ?

A. Facebook

B. Instagram

C. LinkedIn

D. Snapchat

Navigating the ML Landscape : A Beginner's Guide

By Content ITV

Navigating the ML Landscape : A Beginner's Guide

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