**Bring your laptop!** If your Status shows as Going, means your registation confirmed **

21-Nov-2018 update: Recommended prerequisite.

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New to Machine Learning but don’t know where to start? Join us for a Machine Learning Study Jam by Google Cloud Developer Community Chennai ( #GcdcChennai ), where we will run through the Machine Learning Crash Course (MLCC)!

This course is intended for those who wish to learn about ML from a practical, applied perspective that will enable you to use machine learning in your everyday projects and learn about the power of TensorFlow. This is a great opportunity for anyone with basic technical knowledge and limited Machine Learning knowledge willing to gain some practical experience in ML and TensorFlow.

Facilitator: Sri Harsha
Profile: https://www.linkedin.com/in/sriharshagajavalli

Registration step:
Step#1 Join waitlist at event page ==> https://www.meetup.com/Google-Cloud-Developer-Community-Chennai/events/255960213/

Step#2 Register through link with accurate information ==> https://docs.google.com/forms/d/e/1FAIpQLSeJoSlypayk3vcG0ckp1zixRwILDmE0X93r5idAVLVE4Gxcmg/viewform

Recommended prerequisite:
Install following packages and IDE before session.
1. TensorFlow
2. Scikit-learn
3. Numpy
4. Scipy
5. Matplotlib
6. PyCharm IDE

Topic covered:
- Introduction to ML
- Linear Regression
- Loss and its reduction
- Getting started with TensorFlow
- Training and Test data
- Feature crosses
- Classification Techniques
- Introduction to Neural Networks
- Training Neural Networks and multi-class neural networks

#GcdcChennai
#mlstudyjam
#IndiaMLCC

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Archive:
20-Nov-2018 update: Confirmation email sent.
19-Nov-2018 update: Evaluation process completed.
16-Nov-2018 update: Registration closed
09-Nov-2018 update: Topics updated.
06-Nov-2018 update: Registration link updated. Register with accurate details soon.
05-Nov-2018 update: Venue and Facilitator updated. Thanks to Zoho for sponsor.
30-Oct-2018 Update: Meetup may show as full. Click on "Join Waitlist" bell icon or "Attended" button if you 100% plan to attend. We will review and move to you "Going" list once logistic work complete.