Tag: Data Science
All the articles with the tag "Data Science".
6 Questions To Scope Business Requirements Before Starting a Data Science Project To Improve Success
Published:When there is a data science problem to solve, my instincts are to start coding and build something impactful with the latest technologies. However, I’ve learnt the importance of slowing down and taking the time to ask “Why?” to understand the root business problem from the stakeholders’ perspectives.
Traditional Natural Language Processing (NLP) Tasks: Understanding What Large Language Models (LLMs) Can Do For You
Published:Knowing traditional NLP tasks is useful to understand the capabilities of (Large) Language Models. Although LLMs may outperform in many areas, smaller fine-tuned models will always have a place due to their faster latency and lower costs. Here is an overview of NLP tasks.
How I Switched Careers From Mechanical Engineering to Data Science
Published:In this post, I’ll share how I transitioned from mechanical engineering to data science in 2020 while working full-time.
How I Stay Up-To-Date On The Latest AI Advancements Without Feeling Overwhelmed
Published:Keeping up with the latest breakthroughs and industry trends can feel like an endless pursuit, leading to information overload. With so much information available, it’s easy to feel overwhelmed. Here’s how I stay updated without getting bogged down.
Decoding Kaggle's 2023 AI Report: Essential Tips for Machine Learning with Tabular Data 🔍📈
Published:For this blog post, I'll focus on tabular and time-series data (in the context of machine learning (ML) competitions) since this is the most common data type that data scientists face and has the highest applicability/utility.
🔍 Unmasking the Unusual: An Intro to Anomaly Detection
Published:In this beginner-friendly post I’ll introduce the concept of anomaly detection, also known as outlier detection, focusing on the popular technique of density estimation.
🎉 One Month in Singapore's AI Scene 🤖
Published:Here’s an overview of what I’ve been up to and my main takeaways from 24 hours of meetups and conferences on Generative AI, Machine Learning for finance, and Data Engineering.