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CONCEPT
Backpropagation
Backpropagation is the algorithm that trains neural networks. After each prediction, it measures how wrong…
CONCEPT
Bayesian Network — What It Is, How Probabilistic Reasoning Works & Real Use Cases
A Bayesian Network is a diagram that maps cause-and-effect relationships between variables and uses probability…
CONCEPT
BERT — What It Is, How It Reads Language in Both Directions & Why It Changed Search Forever
BERT (Bidirectional Encoder Representations from Transformers) is Google’s 2018 language model that reads every word…
CONCEPT
Big Data — What It Is, the 3 Vs, and Why AI Cannot Exist Without It
Big Data is data too large, fast-moving, or complex for traditional databases to handle. It…
CONCEPT
Black Box AI — What It Is, Why It Matters & the Push for Explainability
Black Box AI is any AI system that produces an output but cannot explain how…
CONCEPT
Boosting — How Combining Many Weak Models Creates One Powerful One
Boosting is a machine learning technique that trains models sequentially — each one learning from…
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