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Skill Topic ยท Cinematic

๐Ÿ“– ML Terminology โ€” Labels, Features, Models & Learning Types

Aliens School โ€” AI Series #38 W3Schools AI Tutorial se inspired, Hinglish mein! ๐Ÿš€

Overview
๐ŸŒŸ

๐Ÿ“– ML Terminology โ€” Labels, Features, Models & Learning Types โ€” Quick Facts

๐Ÿ“Œ

Algebra: Machine Learning

๐ŸŽฏ

y = ax + b: y = b + wx

โšก

y = output: y = label (prediction)

๐Ÿ”‘

a = slope: w = weight

Topic 1
โœจ

๐Ÿ’ก ML Relationships

๐Ÿ“Š Machine Learning inputs aur outputs ke beech relationship find karti hai. Algebra vs ML:โ€ฆ
Topic 2
๐Ÿ”ฌ ๐Ÿ“Š ๐Ÿ”ฌ

๐Ÿท๏ธ Labels (y)

๐Ÿ”ฌ Label = wo cheez jo hum predict karna chahte hain. `โ€ฆ
Topic 3
๐Ÿ”’

๐Ÿ“Š Features (x)

๐Ÿ“ˆ Features = input values jo model ko dete hain. `โ€ฆ
Topic 4
๐Ÿ“ฅ ๐Ÿ“ฅ ๐Ÿง  ๐Ÿ”ฌ ๐Ÿ’ก ๐ŸŽฏ

๐Ÿค– Models

๐Ÿงฎ Model = Label (y) aur Features (x) ke beech relationship define karta hai. `โ€ฆ
Topic 5
โœจ

๐Ÿ‹๏ธ Training

๐ŸŽฒ Training ka goal = ek aisa model banana jo accurately predict kar sake. `โ€ฆ
Topic 6
๐Ÿ“ฅ ๐Ÿ“ฅ ๐Ÿง  ๐Ÿ”ฌ ๐Ÿ’ก ๐ŸŽฏ

๐Ÿ”ฎ Inference

๐Ÿ” Inference = Trained model ko live data par use karna (production mein!). `โ€ฆ
Topic 7
๐Ÿ“ฅ ๐Ÿ“ฅ ๐Ÿง  ๐Ÿ”ฌ ๐Ÿ’ก ๐ŸŽฏ

๐Ÿ“‹ ML Phases (2 Main)

๐Ÿค– | Phase | Input | Output | |-------|-------|--------| | 1. Training | Known dataโ€ฆ
Topic 8
โš™๏ธ

๐ŸŽ“ Types of Machine Learning

โš™๏ธ 1. Supervised Learning ๐Ÿ‘จโ€๐Ÿซ Labeled data use karke train karna (answers pehle se pataโ€ฆ
Topic 9
โœจ

๐Ÿ“Š Learning Types Comparison

๐Ÿ“Š | Type | Data | Goal | Example | |------|------|------|---------| | Supervised | Labeledโ€ฆ
Topic 10
๐Ÿ“ฅ ๐Ÿ“ฅ ๐Ÿง  ๐Ÿ”ฌ ๐Ÿ’ก ๐ŸŽฏ

โ“ Quick Quiz

๐Ÿ’ก

a) Input value

๐Ÿ”‘

b) Jo cheez predict karni hai โœ…

โšก

c) Model ka naam

๐ŸŽฏ

a) Output values

Topic 11
๐Ÿ”’

๐Ÿ“ Summary

๐Ÿ“ˆ | Term | Meaning | |------|---------| | Label | y โ€” prediction target | | Feature | x โ€”โ€ฆ
Comparison
โœจ

๐Ÿ“Š Learning Types Comparison

โš–๏ธ

Supervised: Labeled

โš–๏ธ

Unsupervised: Unlabeled

โš–๏ธ

Reinforcement: Feedback

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 1

๐Ÿ“– ML Terminology โ€” Labels, Features, Models & Learning Types ka sabse sahi definition kya hai?

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 2

๐Ÿ“– ML Terminology โ€” Labels, Features, Models & Learning Types ka 'y = ax + b' kya hai?

Complete! ๐ŸŽ‰
COMPLETE

๐Ÿ“– ML Terminology โ€” Labels, Features, Models & Learning Types Complete!

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