A to Z in ML, DL, and NLP Concepts

Hello All, This post contains A-Z important terminologies related to Machine Learning, Deep Learning, and NLP. I will keep on Updating this post with more terms.

• Algorithm (ML): A step-by-step procedure (e.g., Linear Regression, SVM) for solving problems or making predictions from data.
• Artificial Neural Networks (DL): Computational models inspired by the human brain, consisting of layers of neurons.

B

• Bag of Words (NLP): A simplistic representation of text as a collection of word frequencies, disregarding order.
• Backpropagation (DL): A method to compute and propagate gradients to optimize neural network weights.

C

• Classification (ML): A supervised learning task of predicting discrete labels (e.g., email spam/not spam).
• Convolutional Neural Networks (DL): Specialized models for handling spatial data like images.

D

• Dropout (DL): A regularization technique where neurons are randomly deactivated to prevent overfitting.
• Dimensionality Reduction (ML): Techniques (e.g., PCA) to reduce the number of features while retaining key information.

E

• Embeddings (NLP): Dense vector…