Full Machine Learning Week 7-Track Agenda 2020
Predictive Analytics World
May 31-June 4, 2020
This page shows the full 7-track agenda for the five co-located conferences at Machine Learning Week. A Machine Learning Week Ticket is required for full access. To view the agenda for one individual conference, click here: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, or Deep Learning World.
Session Levels:
Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level
Pre-Conference Workshops - Sunday, May 31st, 2020
Full-day: 8:00am – 3:00pm
This one day workshop reviews major big data success stories that have transformed businesses and created new markets. Click workshop title above for the fully detailed description.
Full-day: 7:30am – 3:30pm
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. Click workshop title above for the fully detailed description.
Pre-Conference Workshops - Monday, June 1st, 2020
Full-day: 7:15am – 2:30pm
This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning). Click workshop title above for the fully detailed description.
Full-day: 8:00am –3:00pm
Python leads as a top machine learning solution – thanks largely to its extensive battery of powerful open source machine learning libraries. It’s also one of the most important, powerful programming languages in general. Click workshop title above for the fully detailed description.
Full-day: 8:00am –3:00pm
Machine learning improves operations only when its predictive models are deployed, integrated and acted upon – that is, only when you operationalize it. Click workshop title above for the fully detailed description.
Track Co-Chair: James Taylor
9:30 am - 9:50 am
9:55 am - 10:15 am
9:30 am - 9:50 am
9:55 am - 10:15 am
9:30 am - 9:50 am
9:55 am - 10:15 am
10:25 am - 10:45 am
10:50 am - 11:10 am
10:25 am - 10:45 am
10:50 am - 11:10 am
10:25 am - 10:45 am
10:50 am - 11:10 am
12:45 pm - 1:05 pm
1:10 pm -1:30 pm
12:45 pm - 1:05 pm
1:10 pm - 1:30 pm
12:45 pm - 1:05 pm
1:10 pm - 1:30 pm
1:40 pm - 2:00 pm
2:05 pm - 2:25 pm
1:40pm - 2:00 pm
2:05 pm - 2:25 pm
2:35 pm - 2:55 pm
3:00 pm - 3:20 pm
Track Co-Chair: James Taylor
9:25 am - 9:45 am
9:50 am - 10:10 am
10:20 am - 10:40 am
10:20 am - 10:40 am
10:45 am - 11:05 am
10:20 am - 10:40 am
10:45 am - 11:05 am
1:25 pm - 1:45 pm
1:25 pm - 1:45 pm
1:50 pm - 2:10 pm
2:20 pm - 2:40 pm
2:45 pm - 3:05 pm
2:20 pm - 2:40 pm
2:45 pm - 3:05 pm
Post-Conference Workshops - Thursday, June 4th, 2020
Full-day: 7:15am – 2:30pm
This one-day session reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models. Click workshop title above for the fully detailed description.
Full-day: 8:00am –3:00pm
Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists. Click workshop title above for the fully detailed description.
Full-day: 8:00am –3:00pm
This workshop dives into the key ensemble approaches, including Bagging, Random Forests, and Stochastic Gradient Boosting. Click workshop title above for the fully detailed description.
Full-day: 8:00am –3:00pm
During this workshop, you will gain hands-on experience deploying deep learning on Google’s TPUs (Tensor Processing Units) at this one-day workshop, scheduled the day immediately after the Deep Learning World and Predictive Analytics World two-day conferences. Click workshop title above for the fully detailed description.