Computers that learn without being explicitly programmed
In short: This video introduces the core mechanics of machine learning, a sub-field of artificial intelligence. It explains how systems transition from static code to self-learning programs capable of adapting to new data independently.
Machine learning functions through iterative pattern recognition, allowing programs to learn from previous computations to produce reliable results. The video categorizes these processes into three primary types: supervised learning, unsupervised learning, and reinforcement learning.
Beyond theory, the content covers practical applications across various industries. It provides context on how these technologies are being integrated into professional fields, supported by a curriculum developed in partnership with IBM to train specialists in AI and data science.
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Sources
- Summary by Intellect · source: Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2026 | Simplilearn
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