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Machine Learning

164+ posts

Time Series Embedding

Last Updated: 30 May 2025

Time series embeddings are the numerical representations of time ordered data sequences which are designed to capture essential patterns in a lower dimensional format. The...read more

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Machine Learning

AI-ML-DS With Python

Bayes Classification

Last Updated: 03 June 2025

Bayes Classification is a Supervised machine learning approach for classification. It works on a probabilistic method which uses Bayes Theorem to be implemented. It predic...read more

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Machine Learning

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

What is data poisoning?

Last Updated: 13 June 2025

Data poisoning is a cyberattack that targets the training data used to build machine learning models. Attackers try to slip misleading or incorrect information into the tr...read more

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Machine Learning

Machine Learning

Misclassification

Last Updated: 12 June 2025

Misclassification occurs when a model incorrectly predicts the class label of a data point. This is a common issue as misclassified samples directly impact the overall acc...read more

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Machine Learning

Machine Learning

What is edge machine learning?

Last Updated: 12 June 2025

Edge machine learning (edge ML)is the practice of running machine learning algorithms directly on devices at the edge of a network or locally on a system such as smartphon...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

XGBoost Parameters

Last Updated: 12 June 2025

XGBoost (Extreme Gradient Boosting) is a scalable, efficient, and flexible gradient boosting framework. It uses decision trees as base learners and works based on gradient...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

Data Drift in Machine Learning

Last Updated: 11 June 2025

Data drift is a situation where the statistical properties of the input data to a machine learning model change over time. When data drift occurs, the relationships betwee...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

Feature selection for High-dimensional data

Last Updated: 12 June 2025

Datasets often contain a vast number of features, for example for pixel values in image processing. High-dimensional datasets pose serious challenges in terms of model com...read more

Machine Learning

Machine Learning

AI-ML-DS With Python

What is Curriculum Learning

Last Updated: 17 June 2025

Curriculum learning is a method used in machine learning where training data is shown to the model in a specific order. This idea comes from how humans learn starting with...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

Multimodal Machine Learning

Last Updated: 16 June 2025

In recent years, Multimodal Machine Learning (MML) has emerged as one of the most transformative technologies in the field of artificial intelligence. As data continues to...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

Temporal Graph Networks

Last Updated: 16 June 2025

Graphs are a powerful way to represent real-world systems. In most practical applications, graphs are not static. Nodes and edges evolve with time. To effectively model su...read more

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Machine Learning

AI-ML-DS With Python

Energy-Based Models in Machine Learning

Last Updated: 16 June 2025

Energy-Based Models (EBMs) are a powerful and flexible class of models in machine learning that provide a framework for capturing complex relationships in data. Using stat...read more

Machine Learning

Machine Learning

AI-ML-DS With Python

ARIMA vs Prophet vs LSTM

Last Updated: 17 June 2025

Time series models are statistical and machine learning models used to analyze and forecast data that is collected over time. This type of data is called time series data ...read more

Machine Learning

AI-ML-DS With Python

Transfer Learning vs. Fine-tuning vs. Multitask Learning vs. Federated Learning

Last Updated: 17 June 2025

Transfer learning, fine-tuning, multitask learning, and federated learning are four foundational machine learning strategies, each addressing unique challenges in data ava...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

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