Chapter 1: What is Machine Learning?
Machine Learning involves teaching computers to learn from examples, mirroring human learning processes. It is a subset of Artificial Intelligence, and encompasses various real-world applications like video recommendations and facial recognition. The chapter guides readers through an introductory understanding of machine learning, its working mechanism, and provides a simple implementation using Python.
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Sections
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What we have learnt
- Machine Learning teaches computers to learn from examples.
- Artificial Intelligence encompasses Machine Learning and Deep Learning.
- Practical applications of machine learning are present in everyday technology.
Key Concepts
- -- Machine Learning
- A field of artificial intelligence that focuses on enabling computers to learn from and make predictions based on data.
- -- Artificial Intelligence (AI)
- The broader concept where machines perform tasks that typically require human intelligence.
- -- Deep Learning
- A specialized subset of machine learning that utilizes neural networks to simulate human brain functioning.
- -- Model
- The representation that learns from examples in machine learning.
- -- Prediction
- The outcome forecasted by the model based on input data.
- -- Training
- The process of teaching a model using training data.
- -- Input
- The data or examples provided to the model to make predictions.
- -- Output
- The result or prediction generated by the model after processing input.
Additional Learning Materials
Supplementary resources to enhance your learning experience.