Pages without language links

Showing below up to 50 results in range #1 to #50.

1. 0.0.0 About this Wiki
2. 1.1.1 Definition and Scope
3. 1.1.2 Problem-Solving Focus
4. 1.1.3 Interdisciplinary Nature
5. 1.2.1 Early Calculating Devices (Abacus, Pascaline, Leibniz Wheel)
6. 1.2.2 Analytical Engine (Babbage & Lovelace)
7. 1.2.3 Alan Turing: The Brilliant Mind Who Shaped Our Digital World
8. 1.2.3 Early Electronic Computers (ENIAC, UNIVAC)
9. 1.2.5 Transistors & Integrated Circuits
10. 1.2.6 Personal Computers & the Internet
11. 1.3.1 Ada Lovelace, Alan Turing, Grace Hopper, Dennis Ritchie, Linus Torvalds, etc.
12. 1.4.1 Theoretical CS, Algorithms, Data Structures, AI, ML, Cybersecurity, Networking, etc.
13. 1.5 How a Computer Works
14. 10.0 Artificial Intelligence (AI) & Machine Learning
15. 10.1.1. Phases (Requirements, Design, Implementation, Testing, Deployment, Maintenance)
16. 10.1.2 Applications of AI
17. 10.1 Introduction to AI
18. 10.1 Software Development Life Cycle (SDLC)
19. 10.2.1 Supervised Learning (Regression, Classification)
20. 10.2.2 Unsupervised Learning (Clustering, Dimensionality Reduction)
21. 10.2.3 Reinforcement Learning
22. 10.2 Types of Machine Learning
23. 10.3.1 Linear Regression, Logistic Regression
24. 10.3.2 Decision Trees, Random Forests
25. 10.3.3 Support Vector Machines (SVM)
26. 10.3.4 K-Means Clustering
27. 10.3 Common ML Algorithms
28. 10.4.1 Perceptrons, Layers
29. 10.4.2 Activation Functions
30. 10.4.3 Backpropagation (High-level)
31. 10.4.4 Convolutional Neural Networks (CNNs)
32. 10.4.5 Recurrent Neural Networks (RNNs)
33. 10.4 Neural Networks & Deep Learning (Basic Concepts)
34. 10.5.1 Basic tasks and applications
35. 10.5.2.1 Generative Pre-trained Transformers (GPT)
36. 10.5.2 Large Language Models (LLMs)
37. 10.5 Natural Language Processing (NLP) / Computer Vision (CV)
38. 13.5 Ethical AI & Societal Impact
39. 16.61 Harvard CS50 (2023) Full Computer Science University Course
40. 2.1.1 Binary Numbers (Bits, Bytes)
41. 2.1.2 Number Systems (Decimal, Binary, Octal, Hexadecimal)
42. 2.1.3 Character Encoding (ASCII, Unicode, UTF-8)
43. 2.1.4 Image, Audio, and Video Representation (Basic)
44. 2.2.1 AND, OR, NOT, XOR, NAND, NOR gates
45. 2.2.2 Truth Tables
46. 2.2.3 Boolean Expressions & Simplification
47. 2.3.1 Definition of an Algorithm
48. 2.3.2 Characteristics of Good Algorithms
49. 2.3.3 Representing Algorithms (Flowcharts, Pseudocode)
50. 2.4.1 Decomposition