[Important] Including RSVP, Registration is also mandatory. Registered participants will be welcomed only. So Kindly Register yourself to attend this event.
Registration Link: http://bit.ly/2PM6aCa
Participants who did registration in Part-1 won't be required again to do. Just mark RSVP to yes. But we'll be rechecking the entries from previous sheet before giving an entry as we did in Part - 1.
[Most Important] If you have missed to attend MLCC Pre-session Part -1, we highly suggest you to complete the prerequisites and self learning exercise shared by a speaker in comment at below link first before registering for this event.
09:30 am to 01:00 pm - session with hands-on
01:00 pm to 01:30 pm - lunch (we'll be providing to the registered ones)
01:30 pm to 04:00 pm - session with hands-on
04:00 to 04:30 pm - open discussion and networking
This time we'll be doing hands-on along with topics discussion by speakers.
Do join with your fully charged laptops with battery backup, Internet and a can-do attitude!
Machine Learning Crash Course is a course specially designed by Google to help take people from minimal or no ML knowledge to a point where they can train simple linear or neural network models in TensorFlow. We aim to give them enough knowledge to understand various pitfalls, classic errors, and tradeoffs.
MLCC is intended for those who wish to learn about ML from a practical, applied perspective that will enable them to use machine learning within their everyday projects, and who wish to benefit from the power of TensorFlow wrapped in convenient higher-level abstractions.
This is a great opportunity for audience with basic technical knowledge and limited Machine Learning knowledge willing to gain some practical experience in ML and TensorFlow.
1) Krupa Galiya
A PyGirl whose main interest lies in AI, NLP, and Algorithms.
Currently, she is exploring advanced AI concepts and tends to do algorithms from scratch. She has completed various projects based on Machine Learning/Deep Learning, NLP and Python. She loves to share knowledge and do research.
Currently, pursuing BE-IT from Vishwakarma Govt. engineering college in the third year.
2) Charmi Chokshi
Working with data and predicting future based on it is Charmi's passion and it has always made her feel like a Magician! She is an AI and Data enthusiast who is always willing to learn from new challenges and love to share the experiences with others. She has facilitated the first pilot of Machine Learning Crash Course in India back in September 2017. She has worked as Research Trainee at Indian Space Research Organisation in summer 2018 and currently, pursuing her final year of ICT Engineering from Ahmedabad University.
3) Krunal Kapadiya
Krunal is working at Volansys. He is one of the first 50 Google certified Associate Android Developer from India. He started to learn Machine Learning since long time. He also completed Machine Learning Foundation nanpdegree. In leisure time he likes to read books.