• Akira AI Glossary

A

• Average Pooling

• Apache Hadoop

• Adam Optimization

• Automated Machine Learning

• Apache Spark

B

• Business Intelligence

• Business Analytics

• Bayesian Statistics

• Bias Errors

• Back Propagation Algorithm

• Bootstrap Aggregation

• Bidirectional Encoder Representations from Transformers

C

• Convolution

• Concordant-Discordant Ratio

• Cross-Validation

• Concave and Convex Function

• Capsule Networks

D

• Decision-Driven Data Analytics

• Dropout Regularization

• Dplyr

• Deep Neural Networks

• Data Mining

• Dopamine

• Deep Reinforcement Learning

E

• ETL

• Embeddings from Language Models

• Edge computing in agriculture

• Exploratory Data Analysis

• Explainable Artificial Intelligence

• End to End Machine Learning

• Evaluation Metrics

• ELI5

• Edge Analytics

F

• Few Shot Learning

• Factor Analysis

• Feature Hashing

G

• Goodness of Fit

• Gated Recurrent Unit

• Gradient Descent

• Google Duplex

• Gradient Boosting

• Generative Adversarial Networks

H

• Hybrid Learning Models

• Hyperparameter Tuning

L

• Lightgbm

• Lean and Augmented Data Learning

M

• Meta-Learning

P

• PyText

• Probabilistic Programming

Q

• Quantum Computing

• Quantum Machine Learning

S

• Stochastic Gradient Descent

T

• Technological Convergence

U

• Universal Language Model Fine-Tuning (ULMfit)

V

• Vowpal Wabbit