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What are Vector Embeddings?

Last Updated: 03 June 2025

Vector embedding are digital fingerprints or numerical representations of words or other pieces of data. Each object is transformed into a list of numbers called a vector....read more

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Natural-language-processing

What is Mixture of Experts (MoE)?

Last Updated: 06 June 2025

Mixture of experts (MoE) is amachine learningapproach that divides a machine learning modelinto separate sub networks or experts where each of these experts specialize in ...read more

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AI-ML-DS With Python

What are embedding models

Last Updated: 03 June 2025

Embedding models are the type of machine learning model designed to represent data in a continuous, low dimensional vector space called embedding. Embedding are numerical ...read more

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Natural-language-processing

Hard or Soft Classification

Last Updated: 02 June 2025

In the field of machine learning, classification is a core task where models are trained to assign input data into predefined categories. Depending on the nature of the ta...read more

Machine Learning

What is Word Clustering?

Last Updated: 04 June 2025

In Natural Language Processing (NLP), word clustering is a technique used to group words with similar meanings or usage patterns. This helps machines understand language m...read more

Machine Learning

Defensive distillation

Last Updated: 05 June 2025

Defensive distillation is a technique aimed at improving the robustness of deep neural networks against adversarial attacks. It involves training a more robust network by ...read more

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AI-ML-DS With Python

Elu Activation Function in Neural Network

Last Updated: 07 June 2025

ELU is a activation function used in neural networks which is an advanced version of widely used relu activation function. But before understanding ELU it's important to r...read more

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Softmax vs Sigmoid Activation function

Last Updated: 04 June 2025

SoftmaxandSigmoidare both activation functions commonly used in neural networks, but they serve different purposes and are best suited for specific types of classification...read more

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Knowledge Distillation

Last Updated: 06 June 2025

Knowledge Distillation is a model compression technique in which a smaller, simpler model (student) is trained to imitate the behavior of a larger, complex model (teacher)...read more

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Machine Learning

AI-ML-DS With Python

How to use LLMs for Regression

Last Updated: 06 June 2025

LLMs, while originally designed for text-based tasks, can be fine-tuned or prompted for regression by treating the numeric prediction as a language generation problem. Reg...read more

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Natural-language-processing

What are Small Language Models (SLMs)

Last Updated: 07 June 2025

Small Language Models (SLMs) are natural language processing (NLP) models with relatively fewer parameters (typically millions to a few hundred million) compared to Large ...read more

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Natural-language-processing

AI-ML-DS With Python

SELU Activation Function in Neural Network

Last Updated: 07 June 2025

SELU (Scaled Exponential Linear Unit) is an activation function designed to help neural networks train more effectively by keeping the output of each layer automatically n...read more

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What is Customer Analytics?

Last Updated: 05 June 2025

Customer analytics, also known as customer data analytics, is the systematic process of collecting, analyzing, and interpreting data about customer interactions, behaviors...read more

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Poisson Regression

Last Updated: 07 June 2025

Poisson regression is a statistical technique used to model and analyze count data, where the outcome variable represents the number of times an event occurs in a fixed in...read more

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Deep Learning for Finance: A comprehensive guide

Last Updated: 06 June 2025

Deep learning is transforming the financial industry by enabling institutions to analyze massive, complex datasets, predict market trends, and manage risk with remarkable ...read more

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AI-ML-DS With Python

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