Page 326 - Touhpad Ai

30. Histogram: Displays frequency distribution of continuous data.
31. Hierarchical Model: Parent-child tree structure used for data storage.
32. Information Retrieval (IR): Finding relevant data or documents using algorithms.
33. Intersection of Sets: Contains only common elements of sets.

34. Independent Variable: Variable used to make predictions.
35. Kaggle: Online platform for datasets and competitions.
36. Logic Gate: Electronic circuit that performs logical operations on binary inputs.
37. Line Graph: Shows trends or changes over time.
38. Linear Regression: Predicts one variable based on another using a straight-line equation.

39. Machine Learning: Subset of AI that enables systems to learn from data automatically.
40. Machine Learning: Technique allowing computers to learn patterns from data.
41. Matrix: Rectangular array of numbers arranged in rows and columns.
42. Mean: Average of a set of numbers.
43. Matplotlib: Python library used to create customizable plots.
44. Missing Values: Blank or undefined entries in data.
45. Mitigation: Reducing or controlling bias and risks.

46. Moral Machine: Online tool to study ethical AI decisions.
47. Natural Language Processing (NLP): AI technology that helps computers understand and generate human language.
48. Null Matrix: Matrix with all elements equal to zero.
49. Pattern Recognition: AI’s ability to identify trends or regularities in data.
50. Pie Chart: Circular chart divided into slices showing proportions.
51. Pandas: Python library for data manipulation and analysis.

52. Privacy: Protecting users’ personal data.
53. Relevance Ranking: Ordering search results based on their usefulness to the user.
54. replace(): Pandas function for correcting wrong entries.
55. Relational Model: Stores data in interlinked tables using keys.
56. Regression Coefficient: Shows relationship strength between variables.
57. Smart Assistant: AI tool that responds to voice commands like Alexa or Google Assistant.
58. Speech Recognition: Converts spoken language into written text.

59. Scalar Matrix: Square matrix with identical diagonal elements and zeros elsewhere.
60. Set Theory: Mathematical study of sets, used in classification tasks.
61. Standard Deviation: Shows how much values deviate from the mean.
62. Seaborn: Python library for statistical visualizations.
63. SQL (Structured Query Language): Language used to manage relational databases.

64. Tokenization: Breaking text into smaller units like words or phrases.
65. Training Data: Dataset used to teach an AI model.
66. Transpose of a Matrix: Matrix formed by interchanging rows and columns.
67. Transparency: Explaining how AI systems make decisions.
68. Union of Sets: Combines all unique elements from two or more sets.
69. Vector: Ordered set of numbers representing magnitude and direction.
70. Validation: Checking cleaned data for accuracy.

324 Touchpad Artificial Intelligence - XI