This workshop introduces you to the higher level ideas of Machine Learning, and provides a launching pad for you to explore and learn more about machine learning, and how it plays a role in Software. We will learn about the training loop of Deep Learning occurs using Tensorflow and also on ways to collect data for your usecase in Selenium and BeautifulSoup4. 

Wonder how NLP techniques are applied in order to solve real world problems? Join us as we explore a Kaggle Competition Dataset on Sentiment Analysis and understand how these techniques are applied. We will also cover cutting-edge advancements such as Attention Models like BERT that are being applied in chatbots and other such solutions. 

Heard of Natural Language Processing (NLP) but not sure how to get started? Well, we’ve got you covered! In this workshop, we will go through the basics of NLP using Python. We will use popular text processing libraries such as Spacy to encode and process raw textual data to perform tasks such as sentiment analysis.

The Annual Data Science Competition hosted by NUS Statistics and Data Science Society (NUS SDS) was back again for its 2022 iteration. This year’s competition featured a geospatial dataset graciously sponsored by Grab and participants got to work with real-life transport data across countries in the region.

In this workshop, we will go through 2 popular packages in the Tidyverse library: dplyr and ggplot2. dplyr helps to solve the most common data manipulation challenges while ggplot2 assists in the creation of stunning graphics by mapping variables to aesthetics. The Tidyverse library is an indispensable tool for data analysis and we will be here to guide you through interactive code-alongs in this workshop.

Have you ever wondered what deep learning is, and how it works? In this workshop, we will introduce the components of a neural network, understand how a neural network works, and analyse its output. We will also train a model using TensorFlow, which is a framework created by Google for developing Deep Learning models.

In this workshop, we will go through the higher level principles that go behind Robust System Design for MLOps, to bring models from the Jupyter Notebook to Production. We will see how such principles are applied in addressing business needs in Grab-Singtel Digibank and see a Technical Demonstration of such design principles in action. Hear from a up and coming team, how to bring your Machine Learning Models to life and impact and change lives.