Introduction Reinforcement Learning (RL) is a powerful framework that enables agents to learn optimal behaviours through interaction with an environment. From mastering complex games like Go to...
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Introduction Reinforcement Learning (RL) is a powerful framework that enables agents to learn optimal behaviours through interaction with an environment. From mastering complex games like Go to...
What is Deepfake? In an age where digital content shapes our daily lives, a new phenomenon is challenging our ability to trust what we see and hear: deepfakes. The term "deepfake" is a blend of...
What is Data Filtering? Data filtering is sifting through a dataset to extract the specific information that meets certain criteria while excluding irrelevant or unwanted data. It's a foundational...
What is Data Encoding? Data encoding is the process of converting data from one form to another to efficiently store, transmit, and interpret it by machines or systems. Think of it like translating...
What is Data Enrichment? Data enrichment enhances raw data by supplementing it with additional, relevant information to improve its accuracy, completeness, and value. Integrating internal and...
What Is Data Wrangling? Data is the foundation of modern decision-making, but raw data is rarely clean, structured, or ready for analysis. This is where data wrangling comes in. Also known as data...
What is Data Anonymisation? Data anonymisation is modifying or removing personally identifiable information (PII) from datasets to protect individuals' privacy. By ensuring that data can no longer...
What is Z-Score Normalization? Z-score normalization, or standardization, is a statistical technique that transforms data to follow a standard normal distribution. This process ensures that data has...
Understanding the Basics of Data Masking Data masking is a critical process in data security designed to protect sensitive information from unauthorised access while maintaining data utility for...
What is Data Transformation? Data transformation is converting data from its original format or structure into a format more suitable for analysis, storage, or processing. This process is a critical...
What is Real-Time Processing? Real-time processing refers to the immediate or near-immediate handling of data as it is received. Unlike traditional methods, where data is collected and processed...
What is Churn prediction? Churn prediction is the process of identifying customers who are likely to stop using a company's products or services in the near future. This involves analysing customer...
What is Federated Learning? Federated Learning (FL) is a cutting-edge machine learning approach emphasising privacy and decentralisation. Unlike traditional machine learning methods, which rely on...
What is Elastic Net Regression? Elastic Net regression is a statistical and machine learning technique that combines the strengths of Ridge (L2) and Lasso (L1) regularisation to improve predictive...
What is Recursive Feature Elimination? In machine learning, data often holds the key to unlocking powerful insights. However, not all data is created equal. Some features in a dataset contribute...
What is High-Dimensional Data? High-dimensional data refers to datasets that contain a large number of features or variables relative to the number of observations or samples. In other words, each...
What is Out-of-Distribution Detection? Out-of-Distribution (OOD) detection refers to identifying data that differs significantly from the distribution on which a machine learning model was trained,...
Introduction Text data is everywhere—from social media posts and customer reviews to emails and product descriptions. For data scientists and analysts, working with this unstructured form of data...
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