Program Agenda
August 10th |
August 17th |
||
| Time | Agenda | Time | Agenda |
| 9:00 am | Registration & Breakfast | 9:00 am | Registration & Breakfast |
| 9:45 am | Welcome | 9:45 am | Welcome Back |
| 10:00 am | Intro to Machine Learning | 10:00 am | ML Product Talks: Case Studies & Use Cases |
| 10:30 am | Using Data Sets: Problem Framing with Hands-On Exercises | 11:00 am | TensorFlow Workshop |
| 12:30 pm | Lunch & MLCC Office Hours | 12:30 pm | Lunch & TensorFlow Continued |
| 1:45 pm | Google's AI Principles & Machine Learning Fairness | 1:30 pm | Life @ Google Panel |
| 3:15 pm | AIY Product Talk & Demo | 2:30 pm | Program Wrap Up |
| 4:15 pm | Day 1 Wrap Up | 2:45 pm | Closing Reception |
| 4:30 pm | Program End | 4:30 pm | Program End |
Agenda is subject to change. Please check the event website for the latest information.
What to expect
Recommended Pre-Work
Though not required, we strongly recommended that you take some time to complete Google’s free Machine Learning Crash Course online at your convenience (~20 hours of content) prior to the live program. Though completion of the online crash course is not required to participate in the live Learning Lab, it will provide a greater foundation to ML than the live program alone, and will also provide context for the concepts covered in the live program.
MLCC is one of the most popular courses orginally created for Google engineers. Our engineering education team has delivered this course to more than 18,000 Googlers, and now you can take it too! The course develops intuition around fundamental machine learning concepts.
During the live program, you’ll also have the opportunity to apply what you’ve learned online and ask questions about the online course material directly of Google experts.
Machine Learning Fundamentals
During the class, you'll accomplish the following:
- Understand the philosophy behind machine learning
- Get a hands-on intro to fundamental machine learning concepts.
- Strengthen understanding of the ML field and hear firsthand from experts how Google approaches it.
- Explore various uses of machine learning
- Understand machine learning fairness and why it is so important
- Learn best practices for problems framing
- Complete project work with your peers using a sample data set
Tech Talks & Case Studies
Learn about Machine Learning from a practical, hands-on perspective. The tech talks will dive into case studies and specific use cases for machine learning. You'll discuss how ML works in various products and applications and how to apply an ML lens to all your work.
TensorFlow Workshop & Small Group Projects
Learn about Machine Learning from a practical, hands-on perspective using TensorFlow. Explore how to take your ideas from concept to implementation using data science.
Panels & Networking
Open Q&A with our panelists who span a wide range of experience, backgrounds, and roles in machine learning and other fields. You'll have the opportunity to ask questions and learn more about Google's unique culture, experience product demos, and network with Googlers and other local tech professionals.
