Book Review Cities: The First 6,000 Years - Monica L Smith I was in Kinokuniya Singapore browsing for books when I chanced upon this book. The title caught my attention because I was thinking of getting a book that can share
Blog Starting the Artificial Intelligence Learning Journey In my previous blog posts, I have stated down the knowledge and skills that a Data Scientist or AI Scientist should have. Here is the post if you have missed
Blog Ethics in Artificial Intelligence: Let's Start Now! Last July, I had the privilege to attend a panel discussion on Ethics in Artificial Intelligence. It was an interesting discussion and I felt that such discussion can be pretty
Blog Three Stages to Data Science Maturity for Business Often, businesses have this view that "Data science is good for my organization. My organization has collected data! We CAN do data science! Let's do it!" In my opinion that
Blog Tips for Data Insights Presentation In my many years of experience in the Data Science industry, I’ve noticed there are two main groups of data scientists: Those that focus on building data productsThose that
Book Review Machines of Loving Grace - John Markoff I stumble across this book at Kinokuniya and what caught my eye and interest is its subtitle "The Quest for Common Ground Between Humans and Robots". As an economist and
Blog Data Cleaning for Data Scientist A lot of us might have heard about the urban myth that if you are a data analyst/data scientist, data cleaning (or known as data munging as well) forms
Blog Difference Between Data Analyst & Data Scientist An FAQ that gets asks in tech communities and Quora is "What is the difference between data analyst and data scientist?" I am going to attempt to answer it based
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
Blog Good Learning Resources for Data Scientists I get asked a lot of times what are the learning resources that I go to, to learn more about the Data Science or Artificial Intelligence. This blog post will
Blog Data Scientist: From Good to Great (II) After I wrote the blog post on how to be a GREAT data scientist, I continued to ask the question, “How can one be a great data scientist that continuously
Blog Data Scientist: From Good to Great (I) Many of you who are starting out on Data Science and looking for materials on what to study, probably have come across Drew Conway’s Venn Diagram on the meaning
Blog Building the Thought Process to Solve Business Challenges through Data In my last post on preparing your data science resume and project portfolio, I was discussing about showcasing the thought process that one has, the thought process on how to
Blog How to Prepare Your Data Science Resume and Portfolio In the past few years, I have met up with a lot of employers and conducted interviews for training program. Through the conversations and interviews, and together with the end
Blog Yes, Data Scientist needs Strategic Thinking! Having done training and mentoring for quite a while, I noticed something that is not taught in most data science curriculum and in my opinion, its an essential business knowledge
Blog What are all these terms … Data Science, Machine Learning, Artificial Intelligence? As many of you know, I conduct training in a few institutions in Singapore. For instance, NUS SCALE, SAS Institute and SMU Academy. A frequent comment that participants make during
Blog Should Start-Up do Data Science? Through my discussion with people on data science and artificial intelligence, I often hear people saying, “Start-ups do not need data science. Let’s focus on capturing users by building
Blog Data Science is a Journey, not an End Running my DataScience SG community, I often have hiring requests from employers directed to me. Unfortunately, when these employers shared their hiring demand, job description etc, it shows that they
Blog Building Data Science Capabilities in Organizations During personal discussions or networking events, I am often asked by business owners, department/function heads the following question “I believed what data science can do for my team, but
Blog Exploratory Data Analysis - Part 2:Using Visualization Continuing from my previous post on the calculations to do when conducting Exploratory Data Analysis, in this blog post, I am going to discuss how to use visual to explore
Blog Exploratory Data Analysis - Part 1: Non-Visual I get asked many times “How can I do a good Exploratory Data Analysis (EDA) so that I can get the necessary information for feature engineering and building machine learning
Book Review The AI Economy - Roger Bootle The AI Economy caught my attention when I was browsing for books at Kinokuniya Singapore. I am an economist by training and am always fascinated by the subject, so a
Book Review Data for the People - Andreas Weigend I was introduced to this book by a close friend of mine who is currently working as a data analyst in a prominent start-up. The audio-book is available at the
Blog Becoming a Data Scientist - Part 4: Domain Expertise Following the few posts that discuss what are the knowledge that someone who is interested to pursue a data science career(overall, mathematics, data & IT management), I shall now
