We will have several short-ish talks about data science-related topics.
"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)
"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.
"Processing Clickstream Data with Amazon Kinesis"
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/)
About the Speakers
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.
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.
Sean is a Senior Data Scientist at Galvanize where he mentors and trains students to become data analysts and data scientists.