Machine Learning Study Jam
We’re excited to bring Google's Machine Learning Study Jams to you. This program is intended for those who wish to learn ML from a practical, applied perspective that will enable them to use machine learning in their projects, and who wish to benefit from the power of TensorFlow wrapped in convenient higher-level abstractions. This program not only focuses on training ML but also on building ecosystem for ML enthusiasts. This is a great opportunity for you to gain some practical experience in ML, TensorFlow and to meet/learn/work with likeminded people.
Machine Learning Crash Course Study Jam - Study Jams are community-run study groups for developers on Google Developers content, on various product topics.
Aug 11, 2018, 10 AM to 4 PM
DERBI Foundation, Innovation Campus, Dayananda Sagar University, Kudlu Gate, Hosur Road, Bangalore
About the program
A Facilitator, trained by us, will walk you through MLCC, it’s modules and basic ML concepts. Additionally, the facilitator will help you with modules which covers practical pieces/exercises and troubleshooting and pieces of the content where you are struggling. The course is open to all, so you can complete the remaining modules as a self-study after the session.
This program will be suitable for you, if:
- You are a strong programmer
- Ideally, you are at least somewhat familiar with Python. You don't need to be an expert.
- Ideally, you know at least a little about linear algebra and calculus.
Machine Learning Crash Course with TensorFlow APIs
Additionally, we’d need you to bring:
- Your laptop and charger. You will need this to go through the online course.
- Pen & paper (or any other preferable option if you plan to take notes)
- Your refillable Water bottle or a cup if you want hot water
- A can-do attitude!
Selected participants will receive a confirmation email. Filling up this form doesn’t guarantee a confirmation.
Date and Time:
11th August 2018 | 10.00 AM to 04.00 PM
DERBI Foundation, Innovation Campus
Dayananda Sagar University,
Kudlu Gate, Hosur Road,