What is the convex function in machine learning?
Answer / Akash Kumar Srivastava
A convex function in machine learning is a function that, when graphed, has the property that its domain and range are vector spaces, and the graph of the function lies on or above its tangent lines. In other words, all chords drawn from any point within the domain to the graph of the function lie above the line extending from that point to the point on the graph.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain me what's the trade-off between bias and variance?
Tell me how would you implement a recommendation system for our company's users?
What are the functions of supervised learning?
What is Model Selection in Machine Learning?
Explain the Algorithm of Decision Trees in Machine Learning?
What is the classification model in machine learning?
Explain The Concept Of Machine Learning And Assume That You Are Explaining This To A 5-year-old Baby?
Tell me what is precision and recall?
Why do ensembles typically have higher scores than individual models?
What are the recommended systems?
When will you use classification over regression?
What is the use of naive bayes?
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)