IMPORTANT: Registration is required via this form: https://goo.gl/forms/kSRHqGzCu9utrzP93

Have you ever heard of the phrase of Machine Learning and thought it was something too complicated and difficult to understand ? well, here in this MLCC Study Jam we will understand how does it work though simple yet effective session with some coding and play around with the tools and exercises.

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.

This course 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.

This course is not recommended for:
- Participants with extensive machine learning backgrounds.
- Participants looking to learn about the lower-level intricacies of raw TensorFlow. Although the course does contain some basic TensorFlow exercises, most of the exercises focus on high-level Tensor APIs.
- Participants seeking advanced topics in machine learning such as image convolutional models and recurrent/sequential models.

Speaker:
Mohamed Hegazy - R&D Engineer at e-finance

Agenda:
11:00 AM - 11:30 AM: Registration - Meet and Greet
11:30 AM - 11:40 AM: Overview of MLCC
11:40 AM - 01:15 PM: Going Through Farming, ML, and Reducing Loss
01:15 PM - 01:30 PM: Break
01:30 PM - 02:45 PM: Introduction to TensorFlow + Exercises
02:45 PM - 03:00PM: Final words and wrap-up

IMPORTANT: Registration is required via this form: https://goo.gl/forms/kSRHqGzCu9utrzP93