Unstructured Data
Find out what is unstructured data and how it compares to structured data. Learn about the challenges, and tools used for unstructured data.
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6 min read
Machine Learning
Browse all content tagged with Machine Learning
Unsupervised Learning
Unsupervised learning is a branch of machine learning focused on finding patterns, structures, and relationships in unlabeled data, enabling tasks like clustering, dimensionality reduction, and association rule learning for applications such as customer segmentation, anomaly detection, and recommendation engines.
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6 min read
Unsupervised Learning
Unsupervised learning is a machine learning technique that trains algorithms on unlabeled data to discover hidden patterns, structures, and relationships. Common methods include clustering, association, and dimensionality reduction, with applications in customer segmentation, anomaly detection, and market basket analysis.
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3 min read
What is Fastai?
Fastai is a deep learning library built on PyTorch, offering high-level APIs, transfer learning, and a layered architecture to simplify neural network development for vision, NLP, tabular data, and more. Developed by Jeremy Howard and Rachel Thomas, Fastai is open-source and community-driven, making state-of-the-art AI accessible for everyone.
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10 min read
Whisper
OpenAI Whisper is an advanced automatic speech recognition (ASR) system that transcribes spoken language into text, supporting 99 languages, robust to accents and noise, and open-source for versatile AI applications.
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10 min read
Word Embeddings
Word embeddings are sophisticated representations of words in a continuous vector space, capturing semantic and syntactic relationships for advanced NLP tasks like text classification, machine translation, and sentiment analysis.
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5 min read
XAI (Explainable AI)
Explainable AI (XAI) is a suite of methods and processes designed to make the outputs of AI models understandable to humans, fostering transparency, interpretability, and accountability in complex machine learning systems.
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6 min read
XGBoost
XGBoost stands for Extreme Gradient Boosting. It is an optimized distributed gradient boosting library designed for efficient and scalable training of machine learning models, known for its speed, performance, and robust regularization.
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2 min read
Zero-Shot Learning
Zero-Shot Learning is a method in AI where a model recognizes objects or data categories without having been explicitly trained on those categories, using semantic descriptions or attributes to make inferences. It's especially useful when collecting training data is challenging or impossible.
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2 min read
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