Training Sessions Coming to ODSC APAC 2023
Advancements in data science and AI are coming at a lightning-fast pace. To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below.
Full-Stack Machine Learning for Data Scientists
Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds
This session will address the issue of how to make the life cycle of a machine learning project a repeatable process. You’ll explore the current production-grade tools, techniques, and workflows as well as explore the 8 layers of the machine learning stack. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.
Big Data Analysis with PySpark
Bharti Motwani | Associate Professor | University of Maryland, USA
Ideal for business analysts, this session will provide practical examples of how to use PySpark to solve business problems. You’ll explore the basics of PySpark as well as discuss different unsupervised and supervised machine learning techniques.
Troubleshooting Search and Retrieval with LLMs
Xander Song | Machine Learning Engineer and Developer Advocate | Arize AI
Some of the major challenges in deploying LLM applications are the accuracy of results and hallucinations. This session will explore the typical ways the search and retrieval use case fails and present a hands-on exercise featuring open-source tools to run LLM-assisted evaluations.
Transformers for Document Understanding
Vaishali Balaji | Lead Data Scientist | Indium Software
This session will introduce you to transformer models, their working mechanisms, and their applications. You’ll explore these models through the example of document understanding and see how transformer models improve both speed and accuracy in this application.
Build Classification and Regression Models with Spark on AWS
Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services
This immersive session will cover optimizing PySpark and best practices for Spark MLlib. You’ll get hands-on practice with unsupervised learning techniques, such as K-Means clustering, and classification algorithms like decision trees and random forest. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.
More confirmed sessions include
- Introduction to Large Lange Models (LLMs) | ODSC Instructor
- Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC
- Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer Expert — ML | SIT Academy, Zurich
- Introduction to Programming with Python Course | ODSC Instructor
- Introduction to Prompt Engineering | ODSC Instructor
- Introduction to SQL Course | ODSC Instructor
- Data Wrangling with Python Course | ODSC Instructor
Don’t miss this opportunity to learn from experts from the APAC region and across the globe. Free and paid passes are available now–register here.
Originally posted on OpenDataScience.com
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