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Learning Technology Interview Questions
2,990 learning technology interview questions shared by candidates
Fundamental Concepts: Explain the difference between supervised and unsupervised learning. What is overfitting, and how can it be prevented or mitigated? Algorithmic Knowledge: Describe how a decision tree works and its applications. Explain the concept of gradient descent in the context of machine learning optimization. Coding and Programming: Implement a binary classifier in Python. Write code to load and preprocess a dataset for a machine learning model. Model Evaluation: How do you assess the performance of a machine learning model? What is the purpose of precision and recall? How are they calculated?
Describe your experience with AWS
Stage 1 was a typical screening call, covering my experience, skillset etc.
Stage 3 was a systems design interview
How would you design a system for daily data ingestion?
What is the difference between L1 and L2 regularization?
What do you do when data is larger than memory.
Random forest, boosting and bagging
* Longest substring with max 2 unique characters * What value would you bring to Kalepa if we hire you
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