Blog Is Prompt Engineering here to stay? Before everyone get caught with “prompt engineering”. I’ll like to say that everyone of us have been doing something similar and doing it right now…Don't think so? Read
Blog Is Machine Learning Magic? Might I do a gentle reminder here that "Machine Learning is not MAGIC!" Like any other tool, it has its strengths and limitations. As a data scientist, we need to
Blog Do not Forget The Target of Machine Learning There is one aspect of machine learning (i.e. supervised learning) that is commonly taken for granted, but now it is gaining traction thanks for Andrew Ng. What is that?
Blog Avoid the "Complexity Trap" This is to all beginners of the data science & data analytics. DO NOT get caught by the “Complexity Trap”!!! The "complexity trap" is especially deadly for beginners. What is
Blog Looking at Dataset Structure The dataset structure is often overlooked for folks who are beginning their data science journey, especially those that have gone for bootcamps/courses. The reason is due to time constraint,
Blog Selecting the "Best" Model Selecting the final machine learning model is not ONLY about selecting the best performing model against the chosen model performance metrics. The ML model also has to meet the business
Podcast Symbolic Connection Podcast - Guest: Thu Ya Kyaw In this episode, we turned the table around. Koo interviewed Thu Ya Kyaw, his co-host, to find out how he becomes a machine learning engineer at NE Digital (a subsidiary
Blog Lex Fridman Interview - Sebastian Thrun Sebastian Thrun is one of the greatest roboticists, computer scientists, and educators of our time. He led development of the autonomous vehicles at Stanford that won the 2005 DARPA Grand
Podcast Symbolic Connection Podcast - What is Data Science, Machine Learning & Artificial Intelligence? In this episode, we explore what is Data Science, Machine Learning, and Artificial Intelligence. We also discussed the relationship and differences between them. How did Data Science come about, what
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 Data Science Myths (1) - Most Accurate Wins? Timothy has just graduated from a Data Science degree program and started work in Lifestyle Coupon, a company that sells consumers discount coupons similar to Groupon. Lifestyle Coupons has just
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 Model Selection: Accuracy, Precision, Recall or F1? Often when I talk to organizations that are looking to implement data science into their processes, they often ask the question, “How do I get the most accurate model?”. And
Blog Gradient Descent Explained Simply For any "Introduction to Machine Learning" classes, two questions get asked a lot of times and that is “What is gradient descent?” and “How does gradient descent figure in Machine
