Welcome!

Welcome and thank you for your coming to my notes. Feel free to explore. New here? If you looking for:

  • AI recruitment/evaluation platform for software developers, https://soding.com.my.
  • Outsourcing for web & mobile app.
  • Technical training for web, mobile app & data science.
  • Code coaching & mentoring.

Email me at nurdin[a]intellij.my if you need it.

Introduction to Data Science

  1. Why Data Science?
  2. What is Data Science?
  3. What is Data Science process?
  4. What Kinds of Data Can Be Analyzed?
  5. What Kinds of Patterns Can Be Analyzed?
  6. Which Technologies are Used?
  7. Which Kinds of Applications Are Targeted?
  8. Major issues in Data Science
  9. Data Science and Society

Why Data Science?

We live in a world where a vast amount of data are collected daily. It is a significant necessity to analyze such data to discover knowledge from it.

We live in the information age

It is a popular saying, but in fact, we live in the information age. Every day, terabytes or petabytes of data flow into our computer networks, the World Wide Web (WWW), and various data storage devices from the company, society, science and engineering, medicine, and almost every other aspect of everyday life. Powerful and versatile tools are badly required to automatically discover and convert precious information from enormous quantities of data into structured knowledge.

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How to think like a computer scientist?

What is science? What is computer science anyway? Computer science is the study of computers. It is an art of science that representing and processing information. How about the definition of a computer scientist? Each person has their own perspective and way of looking at things about the definition itself. It is more related to the concept of theoretical, engineering and solution provided on a specific domain of computer science. Most of the time, computer scientist field conquered by male gender instead of a female because of the two reasons.

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Learn Python for Data Science

Why Python?

To help many others learn python faster, I decided to create this tutorial. We will take bite-sized information on how to use Python for Data Science in this tutorial, practice it until we are comfortable and use it for our own purpose. Why learn Python for data science? Recently, Python has gained a lot of interest as a language choice for data science because of extensive support libraries from the communities, integration feature and improved programmer’s productivity. However, there are several limitations such as difficulty in using other languages (not many similarities such as semicolons or declaring cast type), weak in mobile computing, gets slow in speed (compiler), run-time errors (strict design restrictions) and lack database access layers.

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Pokemon TCG price tracker using Python

If you want to check price down on some websites, you can use this script. I’m going to track the cost of Pokemon TCG (Reshiram & Charizard GX— 217/214— Hyper Rare Card) on this demo’s Troll & Toad page and send me an email automatically if any price drops above $50. You can use this script on all various websites.

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Is it possible to make a realistic DeepFake video?

The answer is no. Making it looks like someone was doing something or saying something that never occurred is more difficult than it sounds. It caused me to produce a “deepfake” video when I heard this news spread like a wildfire throughout the nation. I attempted to convince myself that this is a fake video produced by those who want to gain political interest. But the main reason I’m eager to do it because of someone offers RM4000 ($900) for those who can produce a realistic deepfake video within 48 hours. Maybe I can purchase a lot of Pokemon booster box if I won. So I took up the challenge.

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The Dunning-Krueger Effect in Business, or Why You need Business Analysis?

The Dunning-Kruger Effect is a cognitive bias where the unskilled rate their ability higher than the average while competent people undervalue their ability. The reason unskilled people suffer from the Dunning-Kruger effect is that their own incompetence makes them unable to rate themselves. Compare to Imposter Syndrome, it is a feeling that people who have succeeded at something experience, believing that it was just luck or chance that lead to their success, not their abilities. Instead, Dunning-Kruger subjects believe they are very intelligent and tend to over-inflate their abilities because they can’t recognize their incompetence in comparison to others

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