Interested to Buy Any Domain ? << Click Here >> for more details...
- AI Algorithms (69)
- AI Natural Language Processing (85)
- AI Knowledge Representation Reasoning (4)
- AI Robotics (155)
- AI Computer Vision (2)
- AI Neural Networks (45)
- AI Fuzzy Logic (21)
- AI Games (8)
- AI Languages (5)
- 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 (188)
- AI AllOther (5)
What are standardization and normalisation? Give one advantage of each over the other?
Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?
What is the batch in machine learning?
How to choose notable variables while working on a data set?
How will you know which machine learning algorithm to choose for your classification problem?
What is supervised and unsupervised machine learning?
What is the most frequent metric to assess model accuracy for classification problems?
How do we know which machine learning algorithm is better for us to solve our problem?
How will you choose the most appropriate machine learning algorithm for your classification problem?
When should one use mean absolute error over root mean square error as a performance measure for regression problems?
What does linear in ‘linear regression’ actually mean?
What is the “curse of dimensionality?
What do you understand by decision tree classification?
What do you mean by parametric models?
How do we separate one dimensional, two dimensional and three-dimensional data?
