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Machine Learning Questions

12 posts

How does Keras calculate accuracy?

Last Updated: 19 February 2024

Answer: Keras calculates accuracy by comparing the predicted labels with the true labels, counting the proportion of correct predictions to total predictions.In Keras, acc...read more

Machine Learning

Machine Learning Questions

What is the difference between "equivariant to translation" and "invariant to translation"

Last Updated: 19 February 2024

Answer: Equivariant to translation means the output changes in a predictable way when the input is translated, while invariant to translation means the output does not cha...read more

Machine Learning

Machine Learning Questions

Machine Learning Algorithms for 2D Data?

Last Updated: 19 February 2024

Answer: Common ML algorithms for 2D data include K-Nearest Neighbours, Support Vector Machines, Decision Trees, and Convolutional Neural Networks.Machine learning algorith...read more

Machine Learning

Machine Learning Questions

What Is the Right Approach for Text-Classification Problems?

Last Updated: 19 February 2024

Answer: Preprocess text, select a suitable model (e.g., Naive Bayes, SVM, deep learning), train, evaluate, and iterate for optimization.Text classification is a pivotal ta...read more

Machine Learning

Machine Learning Questions

Is Overfitting a Problem in Unsupervised Learning?

Last Updated: 19 February 2024

Answer : Yes, overfitting can occur in unsupervised learning when the model captures noise or irrelevant details in the data instead of the underlying structure.Overfittin...read more

Machine Learning

Machine Learning Questions

Encoding Before vs After Train_Test_Split?

Last Updated: 19 February 2024

Answer: Encode after train_test_split to prevent data leakage and ensure the model generalizes well to unseen data.When preparing data for machine learning models, the tim...read more

Machine Learning

Machine Learning Questions

Convolution and Cross-Correlation in CNN

Last Updated: 19 February 2024

Answer: Convolution in CNN involves flipping both the rows and columns of the kernel before sliding it over the input, while cross-correlation skips this flipping step.The...read more

Machine Learning

Machine Learning Questions

What is the Difference Between Dilated Convolution and Deconvolution?

Last Updated: 21 February 2024

Answer: Dilated convolution increases the receptive field without introducing additional parameters, while deconvolution, or transposed convolution, is used for upsampling...read more

Machine Learning Questions

What are the Rules for Choosing the Size of a Mini-Batch?

Last Updated: 21 February 2024

Answer: The size of a mini-batch in training a neural network is chosen based on considerations such as computational efficiency, memory constraints, and the desired level...read more

Machine Learning Questions

What is the Difference between a "Cell" and a "Layer" within Neural Networks?

Last Updated: 21 February 2024

Answer: In neural networks, a "cell" refers to the basic processing unit within a recurrent neural network (RNN), such as a long short-term memory (LSTM) cell, while a "la...read more

Machine Learning Questions

Difference Between Fine-Tuning and Transfer Learning

Last Updated: 17 December 2025

Fine tuning and transfer learning both helps models to use what they have learned from one task to perform better on another task. While both might seem similar but they d...read more

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Machine Learning

Machine Learning Questions

Embeddings in Machine Learning

Last Updated: 01 May 2026

In machine learning, embeddings are a way of representing data as numerical vectors in a continuous space. They capture the meaning or relationship between data points, so...read more

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Machine Learning

Natural-language-processing

Computer Vision

Data Science Questions

Machine Learning Questions