What are some key things you look to do to keep code clean and readable?
Machine Learning Interview Questions
8,188 machine learning interview questions shared by candidates
I chose the Quant quizz. It contained probability-related questions (Bayes, Distributions), and mathematical brain teasers.
When should we talk?
Tensorflow, Python , Keras, NLP, SQL
1. Active Learning 2. Deep Neural Network Architectures 3. Temporal analysis 4. Trajectory, path planning. 5. Other basic machine learning question
Under NDA, so no details. General motivation, but mostly technical: hard probability & statistics questions.
Machine Learning Algorithms-related questions. Project-based Questions.
How do you solve overfitting?
Phone: Decode string, e.g. input “3[a2[c]]” output “accaccacc” What if the string is a stream that is not able to fit into the memory? Onsite: LRU Cache Implement KNN, bias variance tradeoff, why curse of dimensionality, discussion of convergence of sgd (or gd), why cross validation Min height tree
Questions were from the 75 questions that everyone keeps mentioning on leetcode
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