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)
You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level ?
309A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
775How would add new Facebook members to the database of members, and code their relationships to others in the database?
364You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?
348
Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?
Which one would you prefer to choose – model accuracy or model performance?
What is column storage? What is a document database?
What does Machine Learning mean for the Future of Data Science?
What is the confusion matrix in machine learning?
How will you fix multi-colinearity in a regression model?
Explain the concept of Local Interpretable Model-agnostic Explanations (LIME).
What was bayes’ theorem? How was it useful in a machine learning context?
What is the common perception of visualization?
What is phonology natural language processing terminology?
How is knn different from k-means?
What are expert systems limitations?
Explain Ensemble learning technique in Machine Learning?
Explain systematic sampling?
Explain the difference between bayes and naive bayes?
