ML Study Jams are a learning opportunity which takes 4 weeks of time leveraging Kaggle Courses. It includes hands-on assignments, tutoring, tech talks and group discussions. Kaggle is the world’s largest data science and machine learning community. It offers a no-setup, customizable, Jupyter Notebooks environment, access to free GPUs and a huge repository of community published data & code.
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Logistics for the Event
IMPORTANT: Detroit Google Office COVID-19 Guidelines
Google requires everyone onsite to be fully vaccinated for COVID-19. You will be requested to present proof of vaccination when you visit. Please find more details here on Google's COVID-19 office guidelines.
To Save Yourself Time
To save yourself time when you arrive, please provide your full name and email when registering.
Parking
Parking is available in the UWM Garage (formerly known as the Henry W Garage) located at 128 W Fisher Service Dr., Detroit, MI 48201. See the map here.
The W Fisher Service Dr is a one-way street, so you will need to enter from the east side near Woodward Avenue. If there is construction on W Fisher Service Drive, then follow the posted signs to enter the garage via Park Avenue.
Please do not insert a credit card upon entry, but press the touchscreen on the parking gate to retrieve a ticket. Bring the ticket with you to the office, and we will be able to validate it at reception so you are not charged.
On Arrival
The Detroit Google Office address is 52 Henry St, Detroit, MI 48201.
It is located inside the Little Caesars Arena complex in The District Detroit. Henry St. is a ‘festival street’, meaning it is closed to vehicles, so you will need to park at W Henry Garage and walk to the Google entrance on the south side of the arena - you can’t miss the sign!
Upon entry to the first-floor lobby, please proceed through the metal detectors and check-in at the Little Caesars Arena security desk. Security will send you up to the 3rd floor Google reception lobby.
Finally, check in at reception and the kiosk in the Google lobby to notify your host to greet you and validate your parking ticket.
Week 1:
Intro to Machine Learning, Pandas
Week 2:
Intermediate Machine Learning, Feature Engineering
Week 3:
Intro to Deep Learning, Computer Vision
Week 4:
Time Series, Intro to AI Ethics
MISSED EARLIER WEEKS?
No problem! Links to the course we covered in weeks 1 & 2 are below.
Week 1 Courses
The ‘Intro to Machine Learning’ Course on Kaggle: kaggle.com/learn/intro-to-machine-learning
The ‘Panda’ Course on Kaggle: kaggle.com/learn/pandas
Week 2 Courses
The ‘Intermediate Machine Learning’ Course on Kaggle: https://www.kaggle.com/learn/intermediate-machine-learning
Feature Engineering on Kaggle: https://www.kaggle.com/learn/feature-engineering
Week 3
Slide Deck From Week 3
https://docs.google.com/presentation/d/1ty28Jv_V-apk0Fb_oZE1IKEjZbziN5jDXrJNBRJzbok/edit?usp=sharing
The ‘Intro to Deep Learning’ Course on Kaggle
https://www.kaggle.com/learn/intro-to-deep-learning
Computer Vision on Kaggle
Wednesday, August 24, 2022
3:00 PM – 5:00 PM (UTC)
| 3:00 PM | Meet at the Detroit Google Office for Lunch & Tour |
| 4:00 PM | Study Jam! |
| 4:45 PM | Check In & Wrap Up |
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