IB Computer Science - Option B (Modelling and Simulation) - HL

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00:00 - Intro
00:20 - Genetic Algorithms
02:08 - Genetic Algorithms: The Process
07:57 - Genetic Algorithms: Itinerary Example
10:05 - IB Practice Problem - Genetic Algorithms
12:06 - Genetic Algorithms: IB Definition
12:58 - Neural Networks
15:47 - Neural Networks: The Scenario
21:55 - Neural Networks: Training Process
31:26 - Hidden Layer: Weights, Biases, and Activation Functions
32:46 - Cost (Fitness) Function
33:24 - Gradient Descent Function
34:50 - Neural Networks: How do they lead to predictions?
38:17 - Performance Factors
40:00 - IB Neural Networks Problem 1
42:30 - IB Neural Networks Problem 2
44:10 - IB Neural Networks Problem 3
45:31 - IB Neural Networks Problem 4
47:01 - Neural Networks + Genetic Algorithms
51:51 - Neural Networks: Applications
53:11 - Neural Networks and OCR: Data Preparation
54:34 - Neural Networks and OCR: Data Preprocessing
56:15 - Neural Networks and OCR: Network Architecture Setup
58:58 - Pooling Layers
1:02:02 - Convolution
1:04:41 - Why use convolution?
1:05:51 - Convolution Layers
1:06:44 - Neural Networks and OCR: Network Architecture Summary
1:07:51 - Neural Networks and OCR: Training
1:09:35 - Feature Matching
1:14:00 - IB Practice Problem - Predictive Text
1:17:47 - Supervised and Unsupervised Learning
1:18:08 - Supervised Learning
1:20:28 - Supervised Learning: Advantages and Disadvantages
1:21:53 - Unsupervised Learning
1:23:14 - Unsupervised Learning: Advantages and Disadvantages
1:24:52 - IB Supervised and Unsupervised Learning Practice Problem 1
1:30:10 - IB Supervised and Unsupervised Learning Practice Problem 2
1:31:52 - Cluster Analysis
1:34:40 - Natural Language Processing
1:35:51 - Why is NLP difficult?
1:37:34 - What are computers good at?
1:37:54 - IB Practice Problem - NLP + Supervised Learning
1:40:41 - Human vs. Machine Learning of Languages
1:43:46 - Machine Translators
1:45:43 - Evolution of Modern Machine Translators
1:46:52 - Challenges of Machine Translation
1:49:20 - Machine Translation: Probabilistic Approach
1:51:01 - Machine Translation: Cognitive Rule-based Approach
1:52:58 - IB Practice Problem - Probabilistic vs. Cognitive Rule-based Approach
1:55:49 - Chatbots and Machine Learning
1:57:07 - Sources and Wrap Up