Al Concepts
ICSE · Class 11 · Artificial Intelligence
Complete topic list for Al Concepts in ICSE Class 11 Artificial Intelligence. Key concepts, sub-topics, and what to focus on for board exams.
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Topics in Al Concepts
Machine Learning Basics
- Machine Learning is an application of Artificial Intelligence.
- It allows systems to automatically learn and improve from experience without being explicitly programmed.
- In conventional programming, the programmer writes the logic/code.
Conventional Programming and Machine Learning
- In conventional programming, the programmer gives input, writes the rules, and gets output.
- Example of conventional programming: Celsius to Fahrenheit conversion uses a fixed formula.
- In Machine Learning, input and output examples are used to train the algorithm.
Types of Machine Learning
- Machine Learning is commonly divided into supervised learning, unsupervised learning, and reinforcement learning.
- Supervised learning uses labelled data to classify or predict.
- Supervised learning learns a mapping from input variables to output variables.
Deep Learning
- Deep Learning is a subset of Machine Learning.
- Deep Learning uses deep neural networks with multiple layers.
- The depth of a deep learning model is represented by the number of layers.
Key Concepts
Central concept: Artificial Intelligence concepts in Machine Learning, Deep Learning, Speech Recognition, and Information Retrieval
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