11th April 2024, Kathmandu
Get ready to dive into the world of machine learning debugging with Python in the upcoming techWebinar Series-63 session titled “Debugging Machine Learning Models with Python: Bridging the gap between beginners and experts in machine learning modeling.”
This enlightening session is scheduled for Sunday, 14th April 2024, at 7:00 PM NPT (Nepal Time).
techWebinar Series continues its mission of building a robust online technical community to foster national development and personal growth.
Sessions:
Topic: Generative AI – Overview
Speaker: Jayasri Jonnalagadda
Role: Community Builder, Machine Learning Engineer (GenAI) at SeiSei.ai
Agenda: Discussion about Multimodals, Challenges, Use Cases, and Applications.
About Speaker:
Jayasri brings over 2 years of experience as a Machine Learning Engineer, specializing in building and scaling AI products across various industries such as Manufacturing, Banking, and Retail. Currently immersed in the Generative AI space, Jayasri is dedicated to exploring its potential and applications.
Topic: Debugging Machine Learning Models with Python: Bridging the gap between beginners and experts in machine learning modeling
Speaker: Ali Madani
Role: Senior Machine Learning Scientist at Recursion
Agenda:
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The Need for Advanced Debugging in Machine Learning
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Components of machine learning life cycle
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Performance optimization, ethical AI, and model explainability.
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Deep Learning and Beyond
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Why “Debugging Machine Learning Models with Python”?
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Path to Machine Learning Mastery
Bio: Ali Madani is a seasoned machine learning specialist with a focus on Biotechnology and Techbio. Holding a Ph.D. from the University of Toronto and complemented by master’s degrees in Mathematics and Applied Sciences from the University of Waterloo, Ali’s expertise lies in applying machine learning to complex biological and chemical data. With a rich scholarly output and significant contributions to drug discovery at Cyclica and Recursion Pharmaceuticals, Ali demonstrates versatility in computational methods across different stages of drug discovery and development.
Live Webinar Link: Tech Webinar-63
Don’t miss this opportunity to gain valuable insights into debugging machine learning models with Python from industry experts. Join us for an engaging session filled with knowledge-sharing and practical tips to enhance your machine-learning skills.
