Author: Natalie Feng

  • Machines can tirelessly analyze data day and night, continuously discovering patterns in numerous human scenarios: credit card fraud alerts, spam email detection, stock price forecasting, personalized product and video recommendations, and more. They are becoming increasingly intelligent in these tasks. This is known as “Analytical AI” or “Traditional AI”.However, humans excel not only in analyzing…

  • In Hogwarts, there is this lovely and reliable Professor Flitwick, but Flitwick becoming Flitwick is not solely because of his intelligence. Firstly, he is a talented wizard, and according to Hermione’s revelation in HP2, he was even a dueling champion in his youth. Secondly, he is an excellent teacher, always kind and patient with his…

  • We all secretly judge others through ancient instinct of sizing either allies or enemies. On the other hand, in most cases, we prefer receiving sizable appraisals in return. Here comes the tricky part: it is tempting to try too hard, and the result is always worse than the underdone. Over advertising is the first telltale…

  • Does inclusion matter? Research shows that diverse teams are better at making decisions 87% of the time over non-diverse teams. With diversity, different perspectives are infused into one’s own thoughts and ideas. Team members function like collected data, without sufficient datapoints, we construct models with severe biases, resulting in less accurate predictions and decisions-making. Furthermore,…

  • Why do you choose data science as major or career? This question is brought out frequently. To me, because machine learning mechanism applies to a broader context than a specific technical area. Most subjects share the same rationale, I don’t think there exist crisp cuts between areas. Data science is a handy way to crack…

  • Would you rather be a sad philosopher or a happy pig? I would say it is a funny question, because there is no such a thing as happy pig. On the down side, happiness is not easily attainable by a simple choice, and it is brutal to wake such a Hollywood dream. However, it is…

  • Lately, a friend asked me: “do you believe in fate?” My answer is yes and no, because it depends on our definition of fate. Let’s start with the question underneath: what is fate? This term is so capacious as to be almost useless. As a data scientist in consulting firm, I find it efficient to…

  • I had been longing for this shimmering mirage that seems within touch but not. Over years, I was smug about being a perfectionist on most things. I once demanded myself to always dress perfectly, speak assertively at work, stay poised in any situation, master all specialties related to my career and etc. As you already…

  • I know a number of people who travel a lot, read a lot, and well educated, however mediocre. And there are quite a few who think superbly, I feel congenial and enlightened every time chatting with them. In my more native and vulnerable years, I wondered why. The answer turns out fairly simple: What it…