Aug 23, 2025 · 3 min read · Executive Summary In task 1, I built a petition topic classifier using TF-IDF and metadata features. After data cleaning, entity extraction, and resampling, a linear SVM model achieved strong performance, meeting the misclassification threshold. Task...
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Jul 9, 2025 · 3 min read · Machine Learning (ML) is one of the most fascinating and fast-growing fields in tech. But when you're just starting out, terms like Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning can sound pretty overwhelming. Don’t worry — in ...
Join discussionFeb 25, 2025 · 5 min read · Introduction In the world of machine learning, data is the driving force. However, obtaining labeled data can be expensive, time-consuming, and sometimes impractical. On the other hand, unlabeled data is abundant and readily available. This is where ...
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Nov 20, 2024 · 5 min read · Modern technology has transformed many aspects of healthcare, with medical imaging being one zone experiencing remarkable advancements. Yet, accurate segmentation of medical images remains a challenging task. Often, it hinges on vast datasets full of...
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Nov 20, 2024 · 4 min read · In the world of medical imaging, precision is everything. The task of semantic segmentation — identifying and delineating objects within images — is a cornerstone of medical data analysis. However, the challenge lies in the dependency on large, annot...
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Oct 21, 2024 · 11 min read · Artificial intelligence has been the subject of much hype in recent years. The reason for this is the progress made in the field of machine learning. This article gives an overview of the topic and is suitable for beginners and advanced users. Types ...
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Aug 6, 2024 · 7 min read · Hello, everyone! Today, I want to dive into the fascinating world of machine learning and explore the various types of machine learning systems. Machine learning can be categorized based on different criteria, and understanding these categories helps...
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Jul 29, 2024 · 2 min read · Semi-supervised learning is a branch of machine learning that uses both labelled and unlabelled data to train models. It uses both supervised and unsupervised learning methods to train AI models. We have learned in-depth about supervised and unsuperv...
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Jul 27, 2024 · 5 min read · Learning from Less Data: Techniques and Applications Introduction In the age of big data, machine learning models typically need large datasets to perform well. However, gathering and labeling vast amounts of data can be tough and costly. Data-effici...
Join discussionSep 1, 2023 · 3 min read · Introduction: In the realm of machine learning, we often encounter scenarios where obtaining labeled data for training models is a time-consuming and resource-intensive task. This is where semi-supervised machine learning comes into play, offering a ...
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