In our previous post, we introduced Linear Regression, a fundamental technique used to predict outcomes based on a single factor—such as estimating house prices based on square footage. We also discussed essential performance metrics like Mean Squared Error (MSE) and...
In today's data intensive world, data scientists play a crucial role. Their main job is to make sense of large amounts of data, turning it into useful information that can guide decisions. This involves both creative and technical skills, using a range of methods and...
Large Language Models (LLMs) are revolutionizing the AI domain at an incredible pace. The diffusion of such powerful models is happening across various domains, from education to entertainment to healthcare. Although the flexibility of this technology is laudable, the...
In a world where data availability is becoming increasingly abundant, how can we leverage multiple data sources to answer questions of scientific interest? This matter is a perfect spot to use the entity resolution. What is entity resolution? Why does it...
ChatGPT was introduced in November 2022, sparking a revolution of generative AI adoption. Before its publication, only academia-related people, researchers, and experts in the field knew about GenAI and the myriad possibilities it brings. By August 2023, McKinsey...
The main difference between data science and business analytics is their focus and application. Data science involves the extraction, analysis, and interpretation of large datasets to gain insights and make data-driven decisions. Recent studies show an...
Emerging retrieval-augmented generation (RAG)-powered enterprise conversational QA applications leverage massive internal knowledge bases and conversational data to improve customer service, increase employee productivity, and help make better decisions. ...
Automated Machine Learning (AutoML) is a pivotal branch of artificial intelligence and machine learning, dedicated to streamlining the intricate steps involved in the machine learning pipeline. This encompasses the automation of tasks ranging from data preprocessing...
Data is the fuel that powers the modern digital economy. Data volume, velocity, and variety have increased exponentially, especially in the last decade. The total amount of data generated will reach 181 zettabytes in 2025. Disciplines such as data science and...
AI is leading the charge in the age of data-driven technology, transforming business and daily life. But this development comes with a price, frequently at the sacrifice of privacy. Data privacy problems have grown as AI models get more complex and data collection...