|5 November 2019||9:00am - 6:00pm|
|MaGIC (Malaysian Global Innovation & Creativity Centre) View map|
Our lives are flooded by large amounts of information, but not all of them are useful data. Therefore it is essential for us to learn how to apply data science in every aspect of our daily life from personal finances, reading and lifestyle habits, to make informed business decisions.
In this session, a thorough introduction to data science will be provided. First of all, the main and important definitions will be displayed. Next, the data product life cycle with examples will be explained. Basic Python and R will be provided to show some real use cases using both of the programming languages.
|9:00 AM||Class commencing|
Samer has been working in the field of artificial intelligence, machine learning, and deep learning since 2014.
In 2014, Samer was hired by Damascus International Airport as a Control and Automation Engineer for 9 months. During his job, he developed multiple automated systems to control all conveyor belts in the departure hall using PLCs and HMIs.
In the middle of 2015, Samer was hired by Rachis Systems Sdn. Bhd. in Kuala Lumpur Malaysia as a Research and Development Engineer. After one year, he was promoted to be the Research and Development Team Lead. During his job, he led multiple projects in the field of computer vision using traditional machine learning algorithms like SVM and decision trees, and modern deep learning algorithms like artificial neural networks and convolutional neural networks. Also, he worked in multiple projects in the field of metaheuristics optimisation algorithms like genetic algorithm and particle swarm optimisation. In addition, he worked in developing simulation environments for multiple network routing protocols like LAR, OLSR, and AODV. Now Samer is hired by a company in Turkey for developing a web application for analysing the generated content on social media websites like Facebook and Twitter. In the research field, Samer has two research articles published in juried journals. The first one is about developing an algorithm to analyse a video captured by a Kinect camera to recognise the human action in the video. The second one is about developing an encryption algorithm using artificial neural networks. At the beginning of 2018, Samer started his master’s research in the field of computer engineering (artificial intelligence) where he is working on detecting diabetic retinopathy from fundus images using the state of art algorithms in the field of deep learning.
As a trainer, Samer conducted more than fifteen training sessions and talks in 2018 about artificial intelligence and data science. He teaches Python programming language for beginner and advanced levels. Also, he teaches how to use Python in advanced topics like Tensorflow from Google and Keras for deep learning, NLTK and spacy for natural processing, and other data science libraries.