SmallSteps

Transformer Model

What does the term “Transformer model” refer to? It is a model with exceptional proficiency in comprehending and producing language that resembles human-like communication. It possesses the ability to analyze, grasp, and even create textual content.   What is the distinction between a Transformer model and traditional models such as RNNs or LSTMs? A transformer …

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Overfitting

What is overfitting in data science?  Overfitting is like memorizing a book instead of understanding the concepts. In data science, it happens when a model learns the training data too well, including its noise and details that don’t really matter.   Why is overfitting bad for a model?  Overfit models may work perfectly on training …

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Naive Bayes Interview Questions and Answers

What is Naive Bayes? Naive Bayes is an uncomplicated algorithm for machine learning that relies on Bayes’ theorem. It is frequently employed to accomplish classification tasks.   Explain Bayes’ theorem in simple terms. Bayes’ Theorem determines the likelihood of an occurrence by considering previous information about the circumstances associated with the occurrence.   Why is …

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KMeans Interview Questions and Answers

What is K-Means clustering? K-Means is an algorithm for clustering that divides a dataset into ‘k’ separate and non-overlapping subgroups, also known as clusters.   How does K-Means work? K-Means operates by repeatedly designating data points to the closest cluster center and adjusting the cluster centers according to the average of the assigned points.   …

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Random Forest Interview Questions and Answers

What is Random Forest? Answer: Random Forest is an ensemble learning method that mixes numerous decision trees to generate a more robust and accurate model.   How does a Random Forest work? Answer: During training, it creates numerous decision trees and outputs the average prediction (regression) or majority vote (classification) of the individual trees.   …

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K-Nearest Neighbors Interview Questions and Answers

What is K-Nearest Neighbors (KNN)? KNN is a straightforward, non-parametric, and supervised algorithm in machine learning that is employed for classification and regression purposes. It predicts outcomes by considering either the most prevalent class or the mean value of the k-nearest data points.   How does KNN classify data points? KNN categorizes a data point …

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Python Interview Questions and Answers

1. What is Python’s Global Interpreter Lock (GIL)? A Global Interpreter Key is a mutex that protects Python object access and prevents multiple threads from executing Python bytecodes at the same time. This can limit thread parallelism, affecting the performance of multi-threaded Python programs. 2. In Python, what is the difference between __str__ and __repr__? …

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