ODSC APAC 2020 is just a few weeks away. With two days, December 8th and 9th, and 40+ talks dedicated to exploring the ways that AI has transformed industries as diverse as manufacturing and oil & gas, this is a virtual conference you don’t want to miss. Focus areas for ODSC APAC workshops covered include Research Frontiers, NLP, Data Visualization, Machine Learning and Deep Learning, and Data Engineering & MLOps.’
Plus, when you upgrade to an All-Access pass you’ll get live and on-demand access to a series of hands-on workshops led by renowned experts and some of the best and brightest minds in the data science and AI industry. A few of these can’t-miss ODSC APAC workshops include:
Data Science and Machine Learning at Scale with Hugo Bowne-Anderson, PhD│Head of Data Science Evangelism and VP of Marketing │Coiled
Ready to scale your data science work to larger models and datasets, but want to stay in the ecosystem? This tutorial will teach you all you need to know, including
- When to scale your machine learning work and data
- How to leverage distribute computation to build larger, more complex models and analyze larger datasets
- How to utilize clusters to support computation that is larger than your laptop’s memory
- How to accomplish these tasks while writing code that isn’t that different from the pandas, scikit-learn, or NumPy code you already wrote.
Building a Network Analysis App in Python with Ian Hansel│Director│Verge Labs
Utilize analysis of network data to understand the relationships between things and create applications that make friend recommendations, optimize driving routes, and prevent financial fraud. This tutorial will teach us how to build a network analysis app with real-world data, Python, and Streamlit.
Tutorial with Isaac Reyes│Co-Founder│StoryIQ
Isaac Reyes is an experienced speaker who has shared his expertise in data visualization and machine learning on the TEDx stage and as an international keynote presenter. His 2018-2019 speaking tour spanned 26 cities across 5 continents. And he hopes to one day empower every organization to derive value from data.
Rethinking the Object Detection with Alisher Abdulkhaev│Machine Learning Engineer│Browzzin
Given that the majority of vision tasks begin with object localization or detection, these tasks are some of the most important tasks in computer vision and AI. Applications such as robotics, object tracking, autonomous driving, and person counting all require an object to be localized in a video or image. With its long history, object detection techniques have seen many iterations, eventually resulting in several robust methods that support real-world applications.
Accessible AI and ML for the Data Scientist with Graham Williams, PhD│Professor and Chief Scientist│Australian National University
Need an efficient method for quickly accessing the latest developments in AI and machine learning? The Machine Learning Hub, which mostly utilizes open source software, is a repository of ML and AI technology and tools. Discover the latest technologies and how to easily explore advances in computer vision, machine learning, and natural language technology.
Tutorial with Dr. Lau Cher Han│CEO│LEAD
Dr. Lau Cher Han is a chief data scientist and experienced keynote speaker in data science and AI. He has represented numerous governmental agencies, companies, and organizations across Taiwan, Australia, Malaysia, and other ASEAN countries. He has also attended data science conferences for Google, Microsoft, and Facebook as a keynote speaker.
Internalizing Machine Learning with Akshay Dixit│Analytics Consultant-Education│SAS India
The global machine learning market is continuously growing and is estimated to reach USD 20 billion by 2024. However, organizations still face the major challenges of incorporating machine learning into their existing setup. It’s therefore essential that machine learning solutions are easy to scale within an organization, helping in a collaborative way. This session will demonstrate how to combine structured and unstructured data as well as compare machine learning models developed using open source languages and built in SAS.
SQL for Data Science with Duhita Khadepau, PhD│Head of Data│Assignar
Data is essential for any data projects as is the ability to write good SQL in the current era of serverless architecture and storing data in Data Lakes and Data Warehouses. This session will cover how to write efficient SQL that is capable of retrieving and cleaning your data for Exploratory Data Analysis.
Register for these ODSC APAC workshops now!
To stay ahead of the AI curve and learn about the latest advancements in AI, you really don’t want to miss this conference, or the opportunity to save 20% on your All-Access Pass by registering by Friday.
With an All-Access Pass, you’ll get access to all ODSC APAC has to offer:
- ODSC India’s 30 talks on December 8th
- ODSC APAC’s 18 talks on December 9th
- Toby Walsh, PhD’s Keynote Talk on December 9th
- ODSC APAC’s 12 expert-led, hands-on workshops and tutorials
- On-demand access to recordings after the conference
- The Virtual Expo Hall on December 8th and 9th
- Virtual Demo Talks on December 9th
An All-Access Pass not in your budget right now? We also have two free passes, the General Pass and the AI Expo Pass, that will get you access to 30+ expert-led talks and the AI Expo Hall and Demo talks respectively.