Please join us for the last event of the year. In this talk, we will explore DSF – Deep Learning in Real-Time: Pneumonia Detection.

Join us virtually this week in partnership with Dataiku.

We aim to share, inspire & bring the data community together to build your industry network & have some exciting interactions with your fellow peers.

Ticket Allocation Process:
Registering here guarantees you a ticket for the Data Science Festival Event on December 17th 2020. Once registered you will be sent your Zoom Link via email.

Registration Link: https://us02web.zoom.us/webinar/register/WN_J0JOkrDcQ6ubQXvBh6s8aw

SCHEDULE

1:00pm: Intro

1:05pm: Speakers: Anita Clement

Talk Title: Deep Learning in Real-Time: Pneumonia Detection.

Today, the benefit of ML is often conditioned to its deployment in real-time. In this talk, Anita Clement, Data Scientist at Dataiku, will explain how to design and deploy a real-time pneumonia detection engine on Dataiku DSS to power an application that could look like tomorrow’s automated diagnosis tools. Along the cycle of developing such a project, she will highlight key answers to common questions that usually arise when getting started with an image classification project:

• Tensorflow vs PyTorch [Lightning]
• CNN: how to choose an architecture 
• Transfer learning or training from scratch
• Deploying a deep learning model to an API service

1:40pm: Community Q&A

2:00pm: Close

Bio: Anita is a Data Scientist at Dataiku where she helps clients across industries build and deploy data science solutions. Prior to Dataiku, she worked as a data scientist at a building materials firm, Saint-Gobain, using applied statistics and machine learning models to improve manufacturing processes and help researchers design and analyse their experiments. Anita holds a Masters in Econometrics and Statistics.