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An Overview of Ensemble Learning Methods: Bagging, Boosting, and Stacking

Apr 29, 20245 min read

Ensemble learning has emerged as a powerful approach in machine learning, where multiple models are combined to make predictions. This technique often...

An Overview of Ensemble Learning Methods: Bagging, Boosting, and Stacking

Building a Fraud Detection System with Isolation Forests and Local Outlier Factors

Apr 10, 20243 min read

Fraud detection is a critical task across various industries, from finance to e-commerce, where identifying abnormal behaviours or transactions can...

Building a Fraud Detection System with Isolation Forests and Local Outlier Factors

Analyzing Text Data with Topic Modeling: Latent Dirichlet Allocation (LDA) Explained

Apr 8, 20246 min read

In the realm of natural language processing (NLP), one of the fundamental tasks is to extract meaningful insights from large collections of text data....

Analyzing Text Data with Topic Modeling: Latent Dirichlet Allocation (LDA) Explained

An In-depth Exploration of Gaussian Processes: Theory and Practical Applications

Apr 5, 20246 min read

In the vast landscape of machine learning and statistics, Gaussian processes (GPs) stand out as a versatile and powerful tool for modelling complex...

An In-depth Exploration of Gaussian Processes: Theory and Practical Applications

Building a Custom Object Detection Model using TensorFlow Object Detection API

Apr 3, 20244 min read

Object detection is a fundamental task in computer vision, enabling machines to identify and locate objects within images or videos. TensorFlow Object...

Building a Custom Object Detection Model using TensorFlow Object Detection API

Deep Learning for Natural Language Generation: Techniques and Applications

Apr 1, 20244 min read

Natural Language Generation (NLG) is a subfield of artificial intelligence (AI) that focuses on producing human-like text or speech from structured...

Deep Learning for Natural Language Generation: Techniques and Applications