|6 July 2019||9:00am - 3:00pm|
|MaGIC (Malaysian Global Innovation & Creativity Centre) View map|
The ALT.Labs series aims to give participants of the community detailed hands-on expertise on the latest technologies in the current industrial revolution ranging from IOT, Cloud Computing, Robotics, AI & Big (Extreme) Data, and Cyber Security.
In this series, as a continuation to the data science portion, the trainer/speaker will go through the basics of Machine Learning using Python 3, a powerful and prominent language used widely for data analysis and data science.
The participants will be taken through the basic theories of Supervised and Unsupervised Machine Learning as well as some algorithms. From there, the participants will also be given some real-life examples and have a hands-on coding session using Python 3 and its machine learning library.
As this will be a hands-on session, the participants are expected to have their own laptop installed with Python 3 and Jupyter Notebook before coming to the session, or they will have an option of running their codes on Google’s Colab.
|9:00 AM||Arrival and Registration|
|12:30 PM||Lunch (Lunch/ Refreshments not provided)|
Prem has an extensive experience as a practitioner and trainer in the area of Data and Analytics, and Engineering with a combined 9 plus years’ experience in the Corporate and Academic industry. His focus areas are Education, Energy and Healthcare, where he jointly co-founded Oxygen Technologies to focus on these areas. He also holds a post as a Data and Analytics Business Analyst at Shell, where he is heavily involved in delivery planning and strategizing the product plan for capability building, utilizing latest technologies focusing on Data Science and AI.
He holds a Master of Science in Petroleum Engineering Degree from Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh in 2014. He obtained his Bachelors in Electrical and Electronics Engineering (Honours) majoring in Artificial Intelligence and Robotics from Universiti Tenaga Nasional (UNITEN), Malaysia in 2010.