• Akira AI Glossary

A

• Adam Optimization
• Apache Hadoop
• Apache Spark
• Automated Machine Learning
• Average Pooling

B

• Back Propagation Algorithm
• Bayesian Statistics
• Bias Errors
• Bidirectional Encoder Representations from Transformers
• Bootstrap Aggregation
• Business Analytics
• Business Intelligence

C

• Capsule Networks
• Concave and Convex Function
• Concordant-Discordant Ratio
• Convolution
• Cross-Validation

D

• Data Mining
• Decision-Driven Data Analytics
• Deep Neural Networks
• Deep Reinforcement Learning
• Dopamine
• Dplyr
• Dropout Regularization

E

• ELI5
• ETL
• Edge Analytics
• Edge computing in agriculture
• Embeddings from Language Models
• End to End Machine Learning
• Evaluation Metrics
• Explainable Artificial Intelligence
• Exploratory Data Analysis

F

• Factor Analysis
• Feature Hashing
• Few Shot Learning

G

• Gated Recurrent Unit
• Generative Adversarial Networks
• Goodness of Fit
• Google Duplex
• Gradient Boosting
• Gradient Descent

H

• Hybrid Learning Models
• Hyperparameter Tuning

L

• Lean and Augmented Data Learning
• Lightgbm

M

• Meta-Learning

P

• Probabilistic Programming
• PyText

Q

• Quantum Computing
• Quantum Machine Learning

S

• Stochastic Gradient Descent

T

• Technological Convergence

U

• Universal Language Model Fine-Tuning (ULMfit)

V

• Vowpal Wabbit