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Your AI coach for mastering the toughest ML interviews
Practice, get feedback, sharpen your answers, and land your dream role
Jump Right Into Questions
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Real Interview questions from the top companies
Practice with a virtual interviewer
Bobby
Get helpful hints along the way
- Designed for sequential data (e.g., speech, time-series, NLP)
- Uses a hidden state to retain past information
- Struggles with long-term dependencies
- Sequential processing makes training slow
- Replaced by more efficient architectures
Know your strengths and discover your blind spots
Machine learning Interview Readiness
73%
Supervised Learning
Training a model with labeled data
Classification vs. Regression
Credit risk is a classification problem
Overfitting & Generalization
Ensuring the model performs well on unseen data
Evaluation Metrics
Accuracy, precision, recall, false positives, false negatives