Data Science Tech Talks

Python + Data Science
Python + Data Science
Public group

Galvanize - New York

109 Nassau St · New York, NY

How to find us

Come to the 4th Floor

Location image of event venue

Details

We will have several short-ish talks about data science-related topics.

Orson Adams
"Keep Calm and 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 and preparing datasets. The situation is worse if you don’t have a labeled dataset.

In this talk, we will cover how data programming and weak supervision can create a labeled dataset oftentimes cheaper and faster than labeling data by hand. We will cover the open-source data programming tool Snorkel (https://www.snorkel.org/) and 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, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and 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 and operationalizes machine learning models to production. Daulet previously worked as a Data Scientist at Ernst & Young, FINRA, and Citibank.
Linkedin: https://www.linkedin.com/in/daulet-nurmanbetov-23517934/

Sean Reed
Sean is a Senior Data Scientist at Galvanize where he mentors and trains students to become data analysts and data scientists.
LinkedIn: https://www.linkedin.com/in/seanreed1/