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)
Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?
Please explain the role of data cleaning in data analysis.
What is the use of leaky relu function?
How will inspect missing data and when are they important for your analysis?
Have you used sampling? What are the various types of sampling have you worked with?
What are the three working components of tensorflow architecture?
Explain neural networks?
What is the bidirectional search algorithm?
You have two tables-the first table has data about the users and their friends, the second table has data about the users and the pages they have liked. Write an SQL query to make recommendations using pages that your friends liked. The query result should not recommend the pages that have already been liked by a user.
What is Dropout and Batch Normalization?
How do we create tensors from python objects?
Define procedural knowledge and declarative knowledge.
What do you understand by Eigenvectors and Eigenvalues?
What are the pros and cons of using cloud-based versus on-premise solutions for AI?
What type of learning is needed when the system needs to adapt to rapidly changing data?