Introducing the Topic Tracks for ODSC West 2023 — Highlighting Gen AI and LLMs
As we progress towards the end of the year, we’re turning our full attention to ODSC West coming to the heart of the AI boom (in-person) or your computer (virtual) from October 30th — November 2nd. This year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners. Check the ODSC West tracks out below.
NLP and LLMs
The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search. You’ll also explore the current state of LLMs, their applications, and the future landscape of these models.
Generative AI
Join this track to gain the core skills needed to become a part of this Generative AI movement and to both develop and implement generative AI into your organization or research. These sessions will cover both theory, applications, and tools like ChatGPT, Craiyon, DALL-E, Stable Diffusion, Whisper, and more.
Machine Learning and Deep Learning
This track gathers together the creators and top practitioners in the rapidly expanding fields of deep learning and machine learning to discuss the latest advances, trends, and models in these fields. A wide range of topics will be discussed, such as TensorFlow, neural networks, PyTorch, autonomous machines, recommendation systems, reinforcement learning, and much more.
Research Frontiers
Stay abreast of the latest developments in data science and AI with this track. World-class academics, researchers, and professionals will summarize and prioritize the latest research enabling you to easily learn about the most important recent developments.
Machine Learning Safety and Security
Learn how to protect your organization’s models and data through this timely track. Some of the topics that you might encounter during the included training sessions, workshops, and talks are adversarial attacks, backdoor model vulnerabilities, real-world deployment tail risks, risk monitoring, and boosting model defenses.
Mini-Bootcamp
In this truly immersive experience, you will access an expanse of industry-focused data science topics on a scale not offered elsewhere. You will also get invaluable insights by networking and connecting with hundreds of data science attendees, world-renowned instructors, industry experts, and dozens of top companies seeking the next wave of talent. The Mini-Bootcamp also includes pre-conference live and on-demand virtual training.
Data Visualization and Data Analysis
Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.
This track will focus on helping you build skills in text mining, data storytelling, data mining, and predictive analytics through use cases highlighting the latest techniques and processes to collect, clean, and analyze growing volumes of structured data.
Data Engineering and Big Data
Join this track to learn the latest techniques and processes to analyze raw data and automate data into mechanical processes and algorithms. You’ll also hear use cases on how data can be used to optimize business performance.
MLOps
As data science is integrated into more aspects of an organization, the challenges of deploying and monitoring models in production, managing data science teams and workflows, and measuring ROI arise. This focus area will utilize use cases, best practices, and anecdotes to show how to effectively incorporate data science practice into your organization.
Responsible AI
This track brings together top data ethicists to provide a practical, ethical framework for technologists to develop machine learning systems. Using case studies and existing frameworks, you’ll develop the tools you need to build your own ethical approach to deploying machine learning in the real world. You will learn how to responsibly design human-in-the-loop review processes, monitor bias, build trust transparency, and develop explainable machine learning systems to ensure data and model security.
Register for ODSC West 2023 here
To build the job-ready skills you need to succeed in these ODSC West tracks, be sure to join us at ODSC West 2023 this fall. Plus you’ll save 60% on your ODSC West in-person or virtual pass when you register for the conference today.
Originally posted on OpenDataScience.com
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