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) What are High Level APIs in tensorflow ?
What do you understand by tensors?
Can you explain recommender system?
What is called annotation?
What are the biggest challenges you see in AI implementation across industries?
What is meant by sampling? Explain some sampling methods that you know?
How will inspect missing data and when are they important for your analysis?
Can you pick an algorithm. Write the psuedo-code for a parallel implementation?
What is the role of AI in autonomous vehicles?
What are some common NLP tasks?
Can you explain how AI is used in personalized medicine for tailored treatment plans?
What evaluation approaches would you work to gauge the effectiveness of a machine learning model?
Consider a problem of preparing a schedule for a class of student. This problem is a type of a) Search Problem b) Backtrack Problem c) CSP d) Planning Problem
Which search algorithm will use a limited amount of memory in an online search?
What are essential skills and training needed in data Science?