The focus of this Meetup group is to provide free monthly community data events.
The Data Science Festival is a global data community. We aim to connect the data world and foster the sharing of knowledge, inspiration and ideas.
The global network is dedicated to free education through grassroots technical events. we will cover the latest topics that matter most to data scientists and data engineers. There will be no demos that you can learn from a book or video, instead our speakers will be discussing real world problems, what works, what doesn’t work and why they’ve implemented the solutions they have. They will generate lively discussion and debate, offering real-world take-aways to help you in your job.
Who is the Data Science Festival for?
• Data engineers, analysts, scientists, and other practitioners
• Academics, founders, researchers, authors
• R, Python and other software engineers who work with data or want to learn
• Data visualisation developers and designers
• Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilise open source tools
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_j2kj3TI_TtOV82rQS731Wg
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
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.