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A confusion matrix is a table that is often used to describe the performance of a classification model.
It is a matrix with rows representing the actual class and columns representing the predicted class.
It helps in evaluating the performance of a classification model by showing the number of correct and incorrect predictions.
It consists of four quadrants: True Positive, False Positive, True Negative, and False Negative...
Principal component analysis is a statistical technique used to reduce the dimensionality of data while preserving important information.
PCA is used to identify patterns in data and express it in a more easily understandable form.
It works by finding the directions (principal components) along which the variance of the data is maximized.
These principal components are orthogonal to each other, meaning they are uncorrelat...
Inventory policy is a set of guidelines for managing inventory levels, while inventory control method is the process of implementing those guidelines.
Inventory policy determines when to order new inventory and how much to order
Inventory control method involves tracking inventory levels, forecasting demand, and optimizing order quantities
Examples of inventory policies include Just-in-Time (JIT) and Economic Order Quanti...
Reverse logistics is the process of moving goods from their final destination back to the manufacturer or point of origin for resale, recycling, or disposal.
Involves returning products from customers to the manufacturer or retailer
Includes activities such as returns, refurbishment, recycling, or disposal
Helps in reducing waste and maximizing value from returned products
Examples: returning a defective product to the man
Repartition increases or decreases the number of partitions in a DataFrame, while coalesce only decreases the number of partitions.
Repartition involves shuffling data across the network, while coalesce tries to minimize shuffling by only creating new partitions if necessary.
Repartition is typically used when increasing the number of partitions for parallelism, while coalesce is used when decreasing partitions to optimi...
Pyspark, python, sql
I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.
Passwordless SSH allows for secure and convenient access between machines.
Generate SSH key pair on local machine using ssh-keygen command
Copy public key to remote machine's authorized_keys file
Ensure correct permissions on .ssh directory and authorized_keys file
Test SSH connection without password prompt
Current role and responsibilities
Micron Technology interview questions for popular designations
I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.
Adaboost is a machine learning algorithm that combines multiple weak learners to create a strong learner.
Adaboost stands for Adaptive Boosting.
It works by adjusting the weights of incorrectly classified instances so that subsequent weak learners focus more on them.
The final prediction is made by combining the predictions of all the weak learners, weighted by their accuracy.
Example: Adaboost is commonly used in face det
Printing a binary tree in different orders
Use inorder traversal to print the binary tree in ascending order
Use preorder traversal to print the binary tree in root-left-right order
Use postorder traversal to print the binary tree in left-right-root order
I applied via Campus Placement and was interviewed before May 2023. There were 3 interview rounds.
Online coding test and few MCQ question - easy to medium difficulty
I applied via Company Website and was interviewed before Jan 2023. There were 2 interview rounds.
Simple Python Coding questions.
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