Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Training Techniques
Backpropagation
An algorithm used for training neural networks by calculating gradients of the loss function.
Machine Learning
Bagging
An ensemble method that improves the stability and accuracy of machine learning algorithms.
Deep Learning
Batch Normalization
A technique to improve training speed and stability in deep neural networks by normalizing the inputs of each layer.
Data Processing
Batch Processing
The execution of a series of jobs on a computer without manual intervention.
Machine Learning
batch-learning
A learning method where the model is trained on a fixed dataset in one go.
Machine Learning
batch-training
A method of training machine learning models using a subset of the dataset in each iteration.
Statistics
Bayesian Inference
A statistical method using Bayes' theorem to update the probability of a hypothesis as more evidence becomes available.
Probabilistic Models
Bayesian Network
A probabilistic graphical model that represents a set of variables and their conditional dependencies using a directed acyclic graph.
Optimization
bayesian-optimization
A probabilistic model-based optimization technique for finding the minimum of a function.
Inference
beam search
beam search is a core generative-AI concept used across modeling, product, and governance discussions.
Data
benchmark
benchmark is a core generative-AI concept used across modeling, product, and governance discussions.
Ethics
Bias
A systematic error that leads to inaccurate results or conclusions.
AI Ethics
Bias Audit
A systematic examination of AI models to identify and mitigate biases.
AI Ethics
Bias Mitigation
Techniques and strategies aimed at reducing bias in AI models and datasets.
Model Evaluation
bias-variance-tradeoff
The balance between a model's complexity and its ability to generalize well to new data.
Distributed Systems
Blockchain
A decentralized digital ledger technology that securely records transactions across multiple computers.
Blockchain
blockchain-interoperability
The ability of different blockchain networks to communicate and share data with each other.
statistics
bootstrap
A statistical method for estimating the distribution of a statistic by resampling.