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 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 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 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
Blog Hiring Data Scientists - "Real" vs "Fake" In one of the conversations I have recently, there was a discussion on how to determine whether a person is a data scientist because of experience and capability data scientist
Blog Data Science Mentor For Your Business Saw the following in Harvard Business Review Jan/Feb 2020 issue, titled "The Transformer CLO". Here is the article if you are interested. "One priority, for instance, is to get
Blog Metadata, Overlooked but Important Have you heard about Metadata? Metadata in short is data about data. For instance, the dataset name, when is the dataset created, what are the columns in the dataset, etc.
Blog Four levels of Analytics/Data Science I notice a lot of companies have challenges trying to gain value from the data they have collected. There are many considerations before we can start discussing on gaining value
Blog Covid-19 And World of Data How Covid-19 pandemic might impact the use of Data Science & Artificial Intelligence in Business
Blog Seeking Data Science Mentors I find having mentors helps a lot in your Data Science learning journey. The reason is when you are structuring your thought process, you might need resources that have not
Blog Data Science Myth (2) - It is a Magic Pill! There was a time, I keep hearing people propose doing "Data Science" for any kind of business challenges as though its a magic pill that once you pop it in
Blog Machine Learning in a Crisis Given the COVID-19 pandemic, I have more time to work on my website these days. So I made a call to my LinkedIn community (post) to find out what they
Blog Must Consider the Impact to Stakeholders During my training classes, when the topic of common machine learning models was being discussed, I usually will also discuss this sub-topic and that is the usage of insights from
Blog Lex Fridman Interview - Yoshua Bengio My learning and thoughts after watching the YouTube video of Lex Fridman interviewing Yoshua Bengio
Blog "Complex" Machine Learning Models is ALWAYS Better? I have been mentoring many "green" data professionals for the past few years. I notice that there is a handful of the recent graduates (degrees or bootcamps) that is caught
Blog Lex Fridman Interview - Stuart Russell My learning and thoughts after watching the YouTube video of Lex Fridman interviewing Stuart Russell
Blog Lex Fridman Interview - Tomaso Poggio Next video interview by Lex Fridman I have watched is the interview with Tomaso Poggio, video below. Tomaso Poggio is a professor at MIT and is the director of the
Blog Why this Obsession with Machine Learning? If you are looking to break into Data Science and Artificial Intelligence, and considering training options such as bootcamps, this is a blog post for you. Based on my observation,
Blog Learning to Build Artificial General Intelligence (Part 1) In 2018, I came across two resources that help me understand better about the current state of Artificial Intelligence and what do we need to move into and build a
Blog You Should Learn Programming As an economist by training, I did a lot of mathematics and statistics modules during my university days. I only had a one-module experience in programming and that was with
Blog Really? You need a Data Scientist? Recent years (or shall I say in the past decade), data has been identified as the new oil. The world is collecting tons of it, no thanks to the advancement
Blog Difference Between Data Science Competition & Reality Most of you may be familiar with Kaggle or the likes, a place where machine learning enthusiasts are competing with one another to find a machine learning model that ultimately
Blog Selecting Data Science Bootcamp/Training Currently, there are tons of bootcamp training on Data Science or Artificial Intelligence, depending on the buzzword of the day. Why is that so? Capitalism is the culprit here because
Blog Quick Win from Data - Start with Visualization During my work, many have asked the following question, in one form or another. “How can I score quick wins from my existing data?”It is a reasonable question, given
