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ALT.Labs 2 – Python Machine Learning – Introduction to Supervised and Unsupervised Learning

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ALT.Labs 2 – Python Machine Learning – Introduction to Supervised and Unsupervised Learning

6 July 2019 9:00am - 3:00pm
MaGIC (Malaysian Global Innovation & Creativity Centre) View map
Admission FREE
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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.

Agenda

Time Activity
9:00 AM Arrival and Registration
9:30 AM ALT.Labs
12:30 PM Lunch (Lunch/ Refreshments not provided)
1:30 PM ALT.Labs
3:00 PM End

Requirements

  • Bring own laptop
  • Have a pre-installed version of Python 3, Jupyter Notebook; or Internet access for Google Colab. If you don’t already have Python and Jupyter Notebook installed and wish to install on your local machine, we recommend installing it via Anaconda, go to www.Anaconda.com, and install the latest version of Python 3 depending on your laptop OS
  • This is an intermediate Data Science session, so participants are expected to have some working knowledge on Python and its libraries such as Pandas, and Numpy
  • Bring extension cords

Our Speaker

Premkumar Chandra Shegaran

Prem is the currently the Lead Data Scientist at Cloud-IOT, heavily involved in business innovation planning and strategizing the product plan for capability building, utilizing latest technologies focusing on Data Science and AI. He also lectures the MSc students at Heriot-Watt University during weekends. His focus areas are Oil & Gas, Education and Healthcare, where he jointly co-founded Oxygen Tech to focus on these areas. He holds a MSc in Petroleum Engineering, Heriot-Watt University and a BEng Electrical and Electronics Engineering (Hons) (major in AI and Robotics), UNITEN. Prem had his early career days in the Oil and Gas Sector, where he was a Research for Manufacturing Engineer at Schlumberger and an Instrumentation Engineer at Ranhill Worley Parsons.

It was here, where he gained tremendous experience dealing with massive amount of data and analyzing trends. He then moved on to the academics and enjoyed stints lecturing in UCSI and Heriot-Watt University. He has strong experiences in data
extraction, mining and processing where he immerses himself in different algorithms of machine learning like Supervised and Unsupervised learning and as well as Reinforcement Learning and Neural Nets. With the combination of technical and
business skills, Prem always sees the opportunity to create intelligent solutions to cater the mass market. He enjoys the thrill of challenges, puzzles and problems knowing that discovering the solution is a satisfying experience.