Blog Documentation and Why It is Important! As a learning data scientist, machine learning engineer, or data engineer there is one important task that you must always keep in mind when you code. What task is that?
Blog Managing Impostor Syndrome At times, we will feel that we are inadequately skilled for a job/project. It is called the impostor syndrome. Not sure what is "Impostor Syndrome"? Check out this YouTube
Blog Blind Spot in Data Science Training In recent days, I notice there is this blind spot with regards to beginners, besides the "complexity trap" that I keep talking about. And this blind spot is perpetuated, unfortunately,
Blog Working on Your CV/Resume I often have to review resumes of fresh talents for my clients, part of the consulting services that I offer, to help my clients build up their data science and
Blog Getting Data Science Job - Certification vs Self-Study I was asked a question before, which one is a better route towards getting that data science job, certifications, or self-study. I will give the most common answer any data
Blog Never Forget, Privacy & Security! Came across this article, where a public servant was caught releasing the Covid-19 infected numbers before it was officially released. https://www.channelnewsasia.com/news/singapore/former-moh-deputy-lead-osa-covid-19-case-numbers-leak-14615394I have been in
Blog Importance of Documentation in Data Science If you want to be a data professional, then you cannot run away from documentation, no matter how dreaded you feel. It is a necessary "evil", so to speak. So
Blog AI: Moving thru 2021 At the start of last year, I wrote an opinion piece on what I saw and thought could be the trends for Artificial Intelligence moving forward. That is until the
Blog Why Work on a Data Science Project? I have been asked many times on LinkedIn how to get started on Data Science. Of course, there are some theories you have to go through like what is Machine
Blog Data Science New Year Aspirations! (Part 3) So in my last two posts (here & here), I talked about the six levels to prepare yourself in becoming a data scientist. To recap, the six levels are: Level
Blog Data Science New Year Aspirations! (Part 2) So in my last post, I talked about the six levels to prepare yourself in becoming a data scientist. To recap, the six levels are: Level 0 - Calculus, Linear
Blog Data Science New Year Aspirations! (Part 1) Happy 2021 everyone! I figure most of you are preparing your New Year aspirations and if it is to have a successful career change to Data Science or Artificial Intelligence,
Blog Lex Fridman Interview - Karl Friston Karl Friston is one of the greatest neuroscientists in history, cited over 245,000 times, known for many influential ideas in brain imaging, neuroscience, and theoretical neurobiology, including the fascinating
Blog Data Science Learning Strategy Learning data science can be frustrating because it is multi-disciplinary. There is much context switching, tools switching, etc. This is further exacerbated if you have taken boot camps that hope
Blog Using Excel is not Data Science? "If you use Excel, it is NOT data science." Surprisingly, I heard similar comments a lot of times. So this post I am going to discuss it and share my
Blog Domain Knowledge - Picking Them Up Recently, I was asked the question “How can I go about to pick up domain knowledge?” To be fair to a lot of boot camps and degree programs, it is
Blog Learn Concepts First, Tools Later A common mistake that data science trainees have is they focus very much on the tools rather than the concepts that are evergreen. They usually ask, "Which tool shall I
Blog Why Data Science Failed in Business (Part 3) Continuing from my previous two posts, today I am going to discuss the last 3 reasons of failure in data science from the article "Data Science: Reality Doesn't Meet Expectations"
Blog Finding the Right Data Science Talent In the last few months, given the employment situation, many people are in transition looking for jobs. There are a lot of LinkedIn posts on interviews with different businesses and
Blog Why Data Science Failed in Business (Part 2) Continuing from my previous post, today I am going to discuss two more reasons of failure in data science from the article "Data Science: Reality Doesn't Meet Expectations". Photo by
Blog Why Model Validation: Overfitting & Underfitting One question I get a lot is why model validation is important in a data science process, specifically in supervised learning. In this blog post I will be talking about
Blog Data Literacy - New Age Literacy Every one of us has this strong innate desire to get the best for our lives. Possibly due to our survival instinct that we behave that way. Every time there
Blog Why Data Science Failed in Business (Part 1) Recently, there was an article posted at Data Science SG, an interest group that I co-founded. In the article, "Data Science: Reality Doesn't Meet Expectations". Seven (7) common reasons were
Blog Tips for Designing Good Data Visualizations I have been teaching Data Visualization for a while now. One of the many reasons I loved training is that my thoughts are structured further and I get to practice
