What is Geographic Information System (GIS)? Back in school we used to group kids into two categories: street smart or book smart. Little did I know then that intelligence comes in many different dimensions. Depending on the sources, the number of intelligence types may vary, but here I've compiled a list of nine: 1.
Data Lakehouse Explained Occasionally, I find myself craving for chimaek, the perfect combo of Korean fried chicken and beer. This flavourful union of crispy chicken and bubbly beer is nothing short of heavenly. Just last night, I succumbed to my cravings that had been simmering for weeks. We were a group of five,
What is Data as a Product? Just the other day, I was deep into a workshop on agile practices. While tackling an exercise, I steered the discussion towards data and its role in driving business success. This discussion took me down memory lane to an event I had attended earlier this year. The event was put
Outliers and Anomalies in Data A colleague of mine, a whiz when it comes to data science, ran a training session about data outliers and anomalies earlier this week. She even demoed a tool she developed for spotting these quirky data points. Regrettably, I couldn't attend the training session because of a conflicting
LangChain for Beginners LangChain has been appearing frequently on my LinkedIn feed lately, particularly with the recent release of a short course on DeepLearning.AI taught by Harrison Chase, its creator, along with Andrew Ng. Intrigued, I decided to research it further. Surprisingly, even ChatGPT did not know LangChain, as it is a
Statistical Sampling- An Overview I've sat in meetings where market research firms or business experts confidently share their findings from market research studies. As they assuredly present their conclusions and generalize them across a broad population, I can't help but feel a touch of unease. Silently, I can't
Overview of Common Time Series Forecast Error Metrics Thinking about forecast accuracy is a lot like self-reflection to me. Honestly, when it comes to forecasting, we hardly ever take the time to look back and see how accurate our predictions were. I can think of a few reasons why this isn't something people commonly do. The
Time series Forecasting I've been delving into forecasting lately. Even with some background, I realize there's a whole heap for me to learn and discover. I find forecasting fascinating. Its allure isn't sorely its practical advantage of glimpsing the future or curbing uncertainties. For me, it also
Time Series Data and Time Series Analysis In the last few years, I started paying attention to my health and fitness. One of the things I pay close attention to is my sleep. My Oura Ring tracks my sleep. Of the resources I've gleaned, quality sleep is one of the best performance enhancers, and it&
Understanding Data Governance: A Guide for Beginners I work with data, but when people talk to me about data governance, I invariably think it's boring and too complex, so I never spent time learning and understanding what it encompasses. I had a recent thought, unclear what sparked it, but it dawned on me that some
Understanding ChatGPT For Beginners ChatGPT is making waves, big time! So, it'll be remiss of me not to write a blog on this topic. Take a look at this chart by USB I sourced from Yahoo Finance, showing how quickly ChatGPT hit 100 million users – just 2 months, crazy right? It puts
Understanding Google Search: A Basic Guide to Crawling, Indexing, and Serving In my early years, I often found myself green with envy when I saw other kids receiving help from their parents with schoolwork. They were there to explain things, provide guidance, and teach. My parents, on the other hand, were perpetually tied up with work, labouring to pay off the
Overfitting and Underfitting: The Goldilocks Principle of Machine Learning Just like Goldilocks in the classic fairy tale who wanted her porridge "not too hot, not too cold, but just right", machine learning models also need to be "just right" in terms of their complexity. Too simple, and they risk missing important patterns in the data-
Data Preprocessing: The Secret Recipe for Machine Learning Success Do you like cooking? I do, especially when preparing a meal for someone. Possibly because the influence of my mum. Coming from an Asian family, we're not particularly good at expressing our emotions to people we care about. My mum would express her love through the meal she
Machine Learning Tools for Beginners: A Personal Journey I still remember my very first foray into the world of data science and machine learning. I was overwhelmed by the sheer number of tools, platforms, and programming languages used in this field (Check out the image below if you don't believe me). It felt like I was
A Paragliding Adventure & Three Types of Machine Learning I woke up yesterday wondering if paragliding was going to happen. The last couple of times I texted my instructor to check, and it was a no-go even though the weather seemed fine to me, but hey, what do I know? I'm just an amateur. After two cancellations
Running Towards Success: How My Half Marathon Training Inspired My Machine Learning Journey Plan Hiya, you know how some people just seem to love exercise and can’t get enough of it and there are those who would do anything to avoid breaking a sweat. If we place this preference on a scale with 10 being an exercise fanatic and 0 being a person
Demystifying Interpretability and Explainability in Machine Learning Have you heard of the practice "safe to try"? It's a heuristic that can accelerate a team's decision-making process, especially when you've got some tricky choices that need everyone's input. It helps keep things moving and makes sure no one&
What is AB Testing? Before I transitioned into the world of data and analytics, I had the opportunity to work in Clinical Operations as a Clinical Trail Associate. It was a demanding role. I was responsible for coordinating and executing clinical trial operations, ensuring the safety of human participants, compliance with regulations, and meeting
Computer Science Concepts as Life Lessons: Reflections of a Beginner I recently reconnected with a friend who I hadn't seen in over a decade. We both discovered a passion for data and coding, despite having very different jobs when we first met. While catching up, we dove into a series of nerdy conversations about programming languages, AI, and
Attend Conferences to Expand Your Network in Data and Analytics Are you looking to expand your network in the data and analytics field? Do you want to connect with people who can inspire, teach and help you grow? Over the past few years, this has been something I've been working on. I mentioned two strategies I used to
Power BI vs Tableau, Which to Choose? Hello there! Today, let's talk about business intelligence tools, which can be helpful for those who want to pursue a career in data analysis, business analysis or data science. Business intelligence tools allow you to collect, process and analyse large amounts of data from both internal and external
Democratizing AI and Landing AI I was just scrolling through my LinkedIn feed when I stumbled upon a video posted by the legendary Andrew Ng about Landing AI and LandingLens. I had no clue what they were before I watched the video, but as usual, Andrew Ng nailed the explanation with his relatable style. He&
Getting (re)Started on Machine Learning Machine learning is a well-sought-after skill in today's job market, and I think it will continue to be in the near and medium future. Despite knowing its widespread application across many industries, I've failed to learn it in the past, just like many others. However, this
Demystifying Machine Learning: An Overview for Beginners I've been researching and focusing on machine learning (ML) lately. Work has requested advanced analytics projects from me. I have mixed feelings about this request and oscillate between anxiety and excitement. Physiologically they generate the same reactions, but anxiety is associated with a negative experience and excitement with
