What is machine learning, and how does it help computers learn from data?
Machine learning is one of the most important parts of modern artificial intelligence. Instead of programming every rule by hand, developers train a model using examples so it can recognize patterns and make predictions on new information.
In this video, you will learn:
• What machine learning means
• How machine learning fits within artificial intelligence
• How machine learning differs from traditional programming
• The basic process: data → training → model → prediction
• The differences among supervised learning, unsupervised learning, and reinforcement learning
• Real-world examples such as recommendations, fraud detection, translation, image recognition, forecasting, and medical applications
• Why data quality, testing, and human oversight matter
• What machine-learning systems cannot do reliably
This video is designed for non-technical professionals, executives, educators, students, and lifelong learners who want a clear and practical introduction to machine learning.
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