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With Upkar Lidder (Data Science & AI Developer Advocate, IBM) & Eric Schles (Sr Data Scientist).
Friday, May 29, 2020 at 03:30 PM   Absolutely Free
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Deep Learning Hands-On Series - Model Tuning

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This is the main work that is done in parallel with the engineering effort that is mostly happening elsewhere. In this tutorial we will walk through how to get better performance out of your model & a bunch of tips & tricks.

What you will learn
During this tutorial we will go through:
- bottleneck revisited
- loss functions
- parameter tuning
- dimensionality reduction
- clustering

Who should attend
This workshop is for folks with a background in statistics, machine learning & specifically neural networks. We will be walking through a number of techniques for tuning networks.

Some knowledge of
- Python
- Statistics
- Machine Learning

Register on Crowdcast

Eric Schles is a senior data scientist with 6 years of full time experience. During his time in industry he has worked in the anti human trafficking, cancer research, government & big tech spaces. During his time at Microsoft he worked as a consulting engineer building production systems for fortune 500 & 100 clients all over the world. During his time in government he worked for the Federal Reserve in San Francisco, the White House & the General Services administration, bringing data science into the procurement process, health systems, human resource systems & in various inter agency consulting capacities. In addition, he worked on strategic cross federal initiatives such as the white house data council & various internal research goals to bring data science to federal agencies as well as assess readiness of agencies for data science.

Upkar Lidder, IBM Data Science & AI Developer Advocate,

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