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Bookshelf for a Data Scientist
As a data scientist, reading book is a daily activity and most of my skills are built from reading. However, I am always reading different types of books outside the data science tools and technology. I would like to share some of the books recommended across different areas. Methodology When doing Data Science, many…
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Different Jobs/Roles in a Data Science Team
People are always saying that Data Science is so hot and expected highly paid in the industry. There are lots of people trying to join in the industry. Everyone would like to become a data scientist. However, there are not many candidates really fit for the role as a data scientist. In this article, I…
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Data Science / Analytics – Best Practices
Many organizations and people are just focused on technology during the implementation of Big Data and/or Data Analytics. However, you should have the same predictive analytics result for the same algorithm no matter it is the programming code being written in SAS, R or Python. The truth is that the proper methodology is far more…
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Advanced Data Analytics with Free Tools
In the field of Data Science, there are lots of great tools without charging a penny. Data Analytic never requires software tools with high price and the analytic result should be the same either using SAS Data Miner or your own R code. As a data science consulting company, our teams are always using free…
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Discovering Insights from your Data
Big data and data science have been discussed for many years. However, there are lots of failed cases of implementation around the world. With the digitalization, it is no longer difficult to collect data but some organizations are now facing the new problem of drowning in a sea of data. In this article, I would…
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Trends in Data Science for 2020 & 2021
I have not published any article for more than 2 months. It was extremely busy for the re-work on different project schedules and additional administrative work due to the coronavirus crisis. For this time, I would like to share an article planned to published by the end of January 2020. It’s about the coming trend…
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Build Server VS Buy Server VS Cloud
Even it is the age of cloud service, but it is still worth to understand more before moving to cloud. Is Cloud always the best answer It is depending on whether it is needed to have one physical server in your office. For business tight on space and/or without IT resources, leasing a server…
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AI Canvas to Work out AI
In this article, I would like to share the simple decision-making tool named AI Canvas and being used in MBA graduates at the university of Toronto’s Rotman School of Management, by professor Ajay Agrawal, University of Toronto. Before going into further details, it is vital to declare that AI / Data Science / Prediction…
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Hardware Investment on Data Science in 2019/20
In this article, I would like to share some technical staff rather than high level data science topic for managers. There are more and more organizations investing in Machine Learning (mostly TensorFlow) including the installation and configuration of new servers and GPU for the intensive computations. Different hardware or cloud service will be discussed. Development…
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Citizen Data Scientist VS Data Scientist
After Gartner defined the term “Citizen Data Scientist” since 2016, there are some large corporations implementing their own data services based on the recommendation by Gartner. Nevertheless, it is vital to understand that Citizen Data Scientist should lead a different role compared to Data Scientist and not possible to replace data scientist as “Power User”…