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
Blog Getting to Good Data Visualization Most of us have sat through bad presentations and data visualizations that make us cringed and scratched our heads, wondering what the visualization is trying to "share". And we tolerate
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
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 Lex Fridman Interview - Andrew Ng "Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai,
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 Lex Fridman Interview - Paul Krugman Paul Krugman is a Nobel Prize winner in economics, professor at CUNY, and columnist at the New York Times. His academic work centers around international economics, economic geography, liquidity traps,
Blog Data Collection Challenges: Examples A lot of people can quote the common mantra of "Rubbish In Rubbish Out" and understand that getting data correct, of the right quality is a must but how many
Blog Coding Best Practices for Beginners I am an economist by training and (gladly) stumble upon the field of Data Science and Artificial Intelligence. You can see that my coding experience/training is very minimal during
Blog Lex Fridman Interview - Greg Brockman Greg Brockman is the Co-Founder and CTO of OpenAI, a research organization developing ideas in AI that lead eventually to a safe & friendly artificial general intelligence that benefits and
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 Lex Fridman Interview - David Silver David Silver leads the reinforcement learning research group at DeepMind and was lead researcher on AlphaGo, AlphaZero and co-lead on AlphaStar, and MuZero and lot of important work in reinforcement
