Interested to Buy Any Domain ? << Click Here >> for more details...
-
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 is the way of dealing with “exploding gradient” problem in rnns?answer: gradient clipping, the gradient is set to the threshold. Gradient clipping will chop the gradients or restricts them to a threshold value to prevent the gradients from getting too large.
903
How do you handle conflicts in an AI team?
What is symbolic learning?
Explain how useful and reliable bayes’ theorem is according to you in the machine learning context?
What are apis used for?
How do you ensure knowledge sharing within your team?
A lot of questions were asked on sorting for eg. Best algorithm on the basis of number of swaps, number of comparisons etc.
What are your favorite data visualization tools?
Explain calculate distance methods briefly?
A building has 100 floors. Given 2 identical eggs, how can you use them to find the threshold floor? The egg will break from any particular floor above floor N, including floor N itself.
What is an ai technique?
What are the disadvantages of breadth-first search algorithm?
A dice is rolled twice, what is the probability that on the second chance it will be a 6?
What are eigenvalue and eigenvector?
What is stemming in nlp?
What is convergence in machine learning?
