(Coderpad Round 3 - Technical) Given a dictionary with keys and values and given an input, find closest key to the given input e.g. dictionary = { 'a' : ['b','c','e'], 'm': ['c','e'] } Input: ['c'] Output: 'm' Explaination: 'c' is at distance 1 from 'a' and 0 from 'm'. Hence closest key for 'c' is 'm'.
(Coderpad Round 3 - Technical) Given a dictionary with keys and values and given an input, find closest key to the given input e.g. dictionary = { 'a' : ['b','c','e'], 'm': ['c','e'] } Input: ['c'] Output: 'm' Explaination: 'c' is at distance 1 from 'a' and 0 from 'm'. Hence closest key for 'c' is 'm'.
Write a program to retrieve log data in an optimal way.
Previous project explanation, Basic machine learning questions
What were the basic different between DL and ML
Design a system for real time model serving satisfying certain constraints (inference time, input size etc.)
Create a ML model detecting coughs.
Please provide an example or evidence of your exceptional ability.
L1 technical Interview: What is Multithreading and Multiprocessing Assumptions taken in Linear Regression Assumption taken in Naive Bayes Classifier What are decorators What is a lambda function How do you handle missing values Ways to tackle overfitting Basic python data structure and differences What is numpy broadcasting Difference between LabelEncoder and OneHotEncoder What is CountVectorizer What is a Confusion matrix Working of Random Forest Algorithm Searching and Sorting algorithms and their time complexities Difference between Tree and Graph What are the different concepts in Object Oriented Programming What is the use of Polymorphism and Inheritance L2 technical Interview: 1.Rectification of mistakes in L1 interview 2.What are the Deep Learning models that you are good at 3.Regularization 4.Ensemble methods And some non-technical stuff
What is your experience managing/constructing a data pipeline? Take home project
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