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Class 9th · Artificial Intelligence

Artificial Intelligence

AI Basics, Python, Machine Learning & Hands-on Projects — chapter by chapter.

10
Chapters
37
Videos
19
Notes PDFs
2/37
Watched

Progress: 2 / 37 videos watched

1
Introduction to Artificial Intelligence
What is AI, history, types & real-world applications
4 videos
2 notes
What is Artificial Intelligence?
16:10
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History & Evolution of AI
20:30
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Types of AI: Narrow, General & Super AI
18:45
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Real-World Applications of AI
22:00
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2
AI vs Human Intelligence
Comparing human cognition with machine intelligence
3 videos
2 notes
How Humans Think vs How Machines Think
19:20
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Strengths & Limitations of AI
17:40
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Turing Test & Intelligence Benchmarks
21:15
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3
Data & Its Role in AI
Types of data, data collection, cleaning & importance
4 videos
2 notes
What is Data? Structured vs Unstructured
15:30
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Data Collection Methods
18:00
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Data Cleaning & Preprocessing Basics
24:10
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Why Data is the Fuel of AI
16:55
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4
Machine Learning Basics
Supervised, unsupervised & reinforcement learning concepts
4 videos
2 notes
What is Machine Learning?
20:00
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Supervised Learning — Explained Simply
25:30
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Unsupervised Learning & Clustering
22:45
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Reinforcement Learning — How Machines Learn
28:10
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5
Introduction to Python for AI
Python basics, variables, loops & functions for AI
4 videos
2 notes
Why Python for AI?
12:00
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Python Basics — Variables & Data Types
24:40
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Loops & Conditions in Python
26:20
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Functions & Libraries in Python
30:00
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6
Neural Networks & Deep Learning
Neurons, layers, activation functions & how deep learning works
4 videos
2 notes
What is a Neural Network?
18:30
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Layers: Input, Hidden & Output
22:10
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Activation Functions — Simple Explanation
20:00
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Introduction to Deep Learning
27:50
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7
Natural Language Processing (NLP)
How AI understands and generates human language
3 videos
2 notes
What is NLP?
16:00
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Tokenization, Stemming & Lemmatization
23:30
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Chatbots & Voice Assistants Explained
25:15
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8
Computer Vision
How AI sees and interprets images and videos
3 videos
1 notes
What is Computer Vision?
15:45
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How AI Recognizes Faces & Objects
24:00
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Applications: Self-Driving Cars & More
20:30
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9
AI Ethics & Responsible AI
Bias, fairness, privacy, deepfakes & ethical AI design
4 videos
2 notes
What is AI Ethics?
14:20
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Bias in AI — Real Examples
19:10
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Privacy, Surveillance & AI
22:00
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Deepfakes & Misinformation
18:40
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10
AI Project — Build Your First AI App
Hands-on mini project: train a simple classifier using Python
4 videos
2 notes
Project Overview & Setup
12:00
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Loading & Exploring the Dataset
20:15
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Training a Simple Model with sklearn
30:00
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Testing, Evaluating & Presenting Results
25:30
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