Course curriculum

  • 1

    ODSC APAC Keynotes

    • From Collected Data to Connected Data: The Evolution of The Graph Data Platform by Dr. Jim Webber

    • Bridging the Gap Between Data Scientists and Decision Makers by Ken Jee

    • The Big Wave of AI at Scale by Luis Vargas, PhD

    • Responsible Business AI by Mary-Anne Williams, PhD

    • Synthetic Data Generation as a Support for Open Data by Kerrie Mengersen, PhD
  • 2

    ODSC Workshops & Tutorials

    • Enhance your Productivity with a Model Tracking Platform by Angelica Lo Duca

    • Interpretable AI : Making Black Box Models Explainable by Jeetendra Kumar Sharma

    • Uncover Hidden Business Insights from Unstructured Data by Dr. Lau Cher Han

    • Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing by Dipanjan (DJ) Sarkar

    • Use of Transfer Learning in Computer Vision by Vaishali Balaji

    • How to Build Stunning Data Science Web applications in Python by Florian Jacta, Zaccheus Sia

    • 100x Faster Analytics with Speed, Scale & SQL by Kanika Sharma

    • Building Machine Learning Apps by Ian Hansel

    • Microsoft's Accelerator for MLOps by Setu Chokshi

    • Key Design Principles of Modern Data Platforms (feat. Airbyte, dbt, Snowflake and Dagster) by Jonathan Neo

    • Using Augmented Reality, Machine Vision & Deep Learning for Solving Supply Chain Problems by Ravi Ranjan, Sushant Burnawal
  • 3

    ODSC Talks

    • Data Science Innovation with Z by HP Workstations, Remote Collaboration and Software Stack by Prerna Daga, Ruchi Bhatia, Paras Varshney

    • Real-time Data Science Made Easy by Chip Kent

    • Monitoring CV Systems: A Unique Solution to a Unique Problem by Raymond Reed

    • MLOps for Musicians by Akira Shibata, PhD

    • Annotated Data: The Bedrock of Successful AI Deployments by Sudeep George

    • Video Analytics & Image Processing Implementation at Jakarta Smart City's Citizen Response Management Solution by Juan Intan Kanggrawan

    • Sentiment Analysis and Aspect-based SA and Beyond by Sunny Kim

    • Why You See What You Like: Machine Learning In Modern Publishing by Astha Mehta, Hariprasath Thiagarajan

    • Image Generation with GANs by Raghav Bali

    • Key Performance Indicators, Visualisation Techniques and Interpretability for ETA (Estimated Time of Arrival) Prediction Models by Urvesh Devani, Ghassen Chniti

    • Data Science in a Data Driven Energy Organisation by Thilaksha Silva, PhD, Shashank Kundapur

    • Explainable Machine Learning - A Human Centric Perspective by Aditya Bhattacharya

    • The Future of AI and Machine Learning by Hui Xiang Chua

    • Big Data and Artificial Intelligence – Driving Personalised Medicine of the Future by Dr. Fatemeh Vafaee

    • Generating Product Descriptions and Answers for Customer Queries on E-commerce Platforms by Dr. Jey Han Lau

    • Data-efficient Active Testing of Machine Learning Models by Dr. Huong Ha

    • Towards Reasoning based Conversation Systems by Dr. Shailesh Kumar

    • Responsible AI Starts with Responsible Design by Bujuanes Livermore

    • Analyzing Blockchain Data to Detect Illicit Transactions made Using Bitcoin by Rohan Maheshwari

    • How Far Left Can You Shift? The Tension Between Data Science and ML Engineering by Chase Christensen, Souheil Inati, PhD

    • Quantum machine learning: is this the future or is this just fantasy? by Mária Kieferová, PhD

    • Using Augmented Reality, Machine Vision & Deep Learning for Solving Supply Chain Problems by Deepak Nagaraje Gowda

    • Getting started with Graph Data Science by Emil Pastor
  • 4

    Partners Demo Talks

    • Introduction to WSL2 for Data Science with Z by HP by Chanran Kim

    • The Hidden Layers of Tech Behind Successful Data Labeling by Glen Ford

    • Azure Container for PyTorch: An Optimized Container for Large Scale Distributed Training Workloads by Parinita Rahi, Jambay Kinley

    • Leveraging HPCC Systems Platform for Machine Learning Applications by Dr. G Shobha, Prof. Jyoti Shetty

    • Personal to Product to Platform: Reporting Your Results with Kubeflow by Chase Christensen, Souheil Inati, PhD

    • Turning your Data/AI Algorithms into full web apps in no time with Taipy by Vincent Gosselin

    • Knowledge Graph Demo by Dr.Jesús Barrasa

    • Real-time Analytics, AI&Apps with Deephaven Data Labs by Pete Goddard