| Alan Chin |
AI pipelines powered by Jupyter notebooks
|
| Alex Bozarth |
Customizing JupyterLab using extensions
|
| Andy Terrel |
Becoming a Data Head, a reflection on the trade offs and decision points in build a data team
|
| Ariel Wolfmann |
Recommendations at Rappi: from MVP to Data Product
|
| Bugra Akyildiz |
Putting Tensorflow Models into Production
|
| Chris Leonard |
Enhancing Common Natural Language Processing with Cognitive Linguistics
|
| Dalton A. R. Sakthivadivel |
The Cortex in the Code: How Neuroscience Makes AI Intelligent
|
| Deeksha Yennam |
Multilingual embeddings to scale NLP models to multiple languages
|
| Dharhas Pothina |
Building a User Maintainable Visualization Dashboard for the Large Synoptic Survey Telescope (LSST)
|
| Dhavide Aruliah |
An Introduction to Sentiment Analysis of Textual Data
|
| Dr. Kevin Horecka |
Saving Animals with Data: 3 Case Studies in Applying Advanced Technology in Animal Shelters
|
| Fatma Tarlaci |
An Introduction to Sentiment Analysis of Textual Data
|
| Hao Jin |
Accelerate large-scale machine learning with NP on MXNet
|
| Jacob Barhak |
Visualizing Machine Learning of Units of Measure using PyViz
|
| James A. Bednar |
Panel: Dashboards for PyData
|
| James Powell |
Objectionable Content
|
| Jim Crist |
Introducing Dask-Gateway: Dask clusters as a service
|
| Joe Gartner |
Addressing the Scarcity of Data Scientist
|
| Julie Hollek |
Data Science: How do you even?,
Q&A with Keynote Julie Hollek
|
| Katrina Riehl |
What the...? Data Science Questions Asked and Answered,
Q&A with Keynote Katrina Riehl
|
| Lilly Winfree |
Frictionless Data Pipelines
|
| Luciano Resende |
AI pipelines powered by Jupyter notebooks,
Customizing JupyterLab using extensions
|
| Max Klein, PhD |
Working interactively with large and remote datasets in JupyterLab
|
| Morgan Cundiff |
Develop Data Science for Business Value: a Phoenix Story
|
| Nicole Carlson |
Productionalizing a Data Science Team
|
| Nirali Shah |
A real beginner's guide to building a rules engine
|
| Peter Wang |
Q&A with Peter Wang, CEO and co-founder of Anaconda,
Values-based OSS Open Discussion
|
| Pushkar Kumar Jain |
Evaluation of Cloud Hosting Frameworks for Machine Learning Based Equipment Monitoring
|
| Saloni Jain |
Speeding up Machine Learning tasks using GPUs in Python
|
| Samuel Taylor |
Machine Learning Crash Course
|
| Saul Shanabrook |
metadsl: separating API from execution
|
| Sudheesh Katkam |
Hyperrest: A new Apache Arrow API For High Performance Data Access in Pandas
|
| Tailai Wen |
ADTK: An open-source Python toolkit for anomaly detection in time series
|
| Thomas J Fan |
Do You Want To Build A Forest?
|
| Travis E Oliphant |
Extending Python Into the Future,
Q&A with Keynote Travis Oliphant,
uarray: Separating interface from implementation
|
