Browsing: Data Science
The first step in tackling perfectionism is to understand what type you’re dealing with. There are three types:Self-oriented (you hold yourself to impossibly high standards)Socially-prescribed (you…
Now it’s time for some contrastive learning. To mitigate the issue of insufficient annotation labels and fully utilize the large quantity of unlabelled data, contrastive learning…
Managing data models at scale is a common challenge for data teams using dbt (data build tool). Initially, teams often start with simple models that are…
For my chart, I am using an Olympic Historical Dataset from Olympedia.org which Joseph Cheng shared in Kaggle with a public domain license.Screenshot of datasetIt contains…
Why, in a world where the only constant is change, we need a Continual Learning approach to AI models.Image by the author generated in MidjourneyImagine you…
And a roadmap to help you do the same.Photo by Rodeo Project Management Software on UnsplashAs I scoured through data science job listings on LinkedIn and…
Top trends to help your data pipelines scale with easeAI generated image using KandinskyIn this discussion, I aim to explore the evolving trends in data orchestration…
Learn from Software Engineers and Discover the Joy of ‘Worse is Better’ Thinkingsource: unsplash.comRecently, I have had the fortune of speaking to a number of data…
It is surprising how some of the basic subjects in machine learning are still unknown by researchers and despite being fundamental and common to use, seem…
Image by narciso1 from PixabayThe stellar performance of large language models (LLMs) such as ChatGPT has shocked the world. The breakthrough was made by the invention…