Personal Information
Organization / Workplace
Cincinnati Area, KY United States
Occupation
Data Scientist, Machine Learning Engineer
Industry
Technology / Software / Internet
About
Solving hard problems with data using machine learning, deep learning.algorithms, a bit of StackOverflow querying, and a lot of perseverance.
Perpetually curious and always learning new technologies.
- Presentations
- Documents
- Infographics
Automated Testing For Protecting Data Pipelines from Undocumented Assumptions
Databricks
•
3 years ago
Amundsen: From discovering to security data
markgrover
•
3 years ago
From discovering to trusting data
markgrover
•
3 years ago
Amazon reInvent 2020 Recap: AI and Machine Learning
Chris Fregly
•
3 years ago
Topological data analysis
Sunghyon Kyeong
•
9 years ago
End-to-end Introduction to Machine Learning
Alexey Grigorev
•
3 years ago
Serving ML easily with FastAPI
Sebastián Ramírez Montaño
•
4 years ago
Making of-the-logistic-map-bifurcation-diagram
martsberger
•
9 years ago
Quantum Computing with Amazon Braket
Chris Fregly
•
3 years ago
Approaching (almost) Any NLP Problem
Abhishek Thakur
•
4 years ago
Approaching (almost) Any Machine Learning Problem (kaggledays dubai)
Abhishek Thakur
•
4 years ago
Deploying deep learning models with Docker and Kubernetes
PetteriTeikariPhD
•
7 years ago
Data science: use cases and tools
Alexey Grigorev
•
3 years ago
Full-stack Data Scientist
Alexey Grigorev
•
3 years ago
Deep Learning in Production: Serving Image Models at Scale
Alexey Grigorev
•
3 years ago
How to Productionize Your Machine Learning Models Using Apache Spark MLlib 2.x with Richard Garris
Databricks
•
6 years ago
Serverless Deep Learning
Alexey Grigorev
•
3 years ago
Automatic Model Documentation with H2O
Sri Ambati
•
3 years ago
Tabnet presentation
Sebastien Fischman
•
3 years ago
What's Coming in Apache Airflow 2.0 - PyDataWarsaw 2019
Jarek Potiuk
•
4 years ago