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EVENT DETAILS |
(Note: This is a crosspost of https://www.meetup.com/python-plus-data-science/events/267691556/ , please sign up there so we can maintain an accurate headcount!)
We will have several short-ish talks about data science-related topics.
Orson Adams
"Keep Calm & Track Your Machine Learning Experiments"
Abstract: In this talk, I'll introduce MLFlow Tracking - open-source tooling to track machine learning experiments. If you've iterated over a machine learning project a few times you've probably lost some hair keeping track of which model + hyperparameter + data combo gives you which results. In the past I've used various solutions - none has worked for me as well as MLFlow Tracking (https://www.mlflow.org/docs/latest/tracking.html)
Daulet Nurmanbetov
"Labeling data with Weak Supervision"
Abstract: We all spend the majority of our time cleaning & preparing datasets. The situation is worse if you dont have a labeled dataset.
In this talk, we will cover how data programming & weak supervision can create a labeled dataset oftentimes cheaper & faster than labeling data by hand. We will cover the open-source data programming tool Snorkel (https://www.snorkel.org/) & give a walkthrough of how to get started.
Sean Reed
"Processing Clickstream Data with Amazon Kinesis"
Abstract: TBD
About Amazon Kinesis: Amazon Kinesis makes it easy to collect, process, & analyze real-time, streaming data so you can get timely insights & react quickly to new information. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, & IoT telemetry data for machine learning, analytics, & other applications. (https://aws.amazon.com/kinesis/)
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About the Speakers
Orson Adams
Orson is a Senior Machine Learning Engineer at Moodys Analytics where he helps build products that enrich financial solutions with the signal from unstructured data using NLP.
LinkedIn: https://www.linkedin.com/in/orsonady/
Daulet Nurmanbetov
Daulet is Senior Research Scientist in Artificial Intelligence & Machine Learning at Moody's Analytics. At Moody's, he creates architectures for large scale machine learning & operationalizes machine learning models to production. Daulet previously worked as a Data Scientist at Ernst & Young, FINRA, & Citibank.
Linkedin: https://www.linkedin.com/in/daulet-nurmanbetov-23517934/
Sean Reed
Sean is a Senior Data Scientist at Galvanize where he mentors & trains students to become data analysts & data scientists.
LinkedIn: https://www.linkedin.com/in/seanreed1/
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