What is an AdaGrad algorithm in machine learning?
Answer / Jaydeep Bajpai
AdaGrad, or Adaptive Gradient Descent, is a stochastic optimization algorithm for first-order optimization that adapts the learning rate for each parameter based on its historical gradient variations.
| Is This Answer Correct ? | 0 Yes | 0 No |
When does regularization become necessary in machine learning?
What are the 3 types of ai?
What is the purpose of machine learning?
What are standardization and normalisation?
Tell us an example where ensemble techniques might be useful?
Which is more important to you – model accuracy or model performance?
Tell me what is a recommendation system?
What is ROC curve and what does it represent?
Tell us how do you handle missing or corrupted data in a dataset?
How to decide one problem is a machine learning problem or not?
What is difference between supervised and unsupervised learning algorithms?
Explain the Algorithm Technique of Learning to Learn in Machine Learning?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)