Machine Learning, AI, Deep Learning, Neural Networks etc are the future of how insightful decisions will be made and how businesses will compete in the marketplace. These skills are becoming MANDATORY if you want to lead in the next decade. There is a lot to read on these topics. I have led a large Big Data team that also dived into Machine Learning by implementing few ML solutions.

Few of us are planning to work in group settings to dive into Machine Learning by taking online classes like Udacity’s Machine Learning and AI Nanodegrees and by doing group projects. We will like to meet during the evenings and weekends based on our collective availability. We will also explore use cases with publicly available data that present interesting business cases. We are looking for like-minded people who are passionate about learning by doing.

Agenda:

Share tips, tricks, notes, industry stories/insights and help each other to move forward in learning Machine Learning content. This is designed to support active members for all to move forward.

All coursework is selected from Udacity.com online learning towards growing Machine Learning foundation and skills.

Pre-requisite courses for Machine Learning Nanodegree:

These courses are FREE

  1. Introduction to Python Programming

  2. Intro to Descriptive Statistics

  3. Intro to Inferential Statistics

  4. Linear Algebra Refresher Course

  5. Intro to Machine Learning

Machine Learning Engineer Nanodegree (cost ~$200/month)

Additional FREE Udacity.com coursework considerations:

• Machine Learning (by Georgia Tech, C57641)

• Machine Learning: Unsupervised Learning (by Georgia Tech, C57641)

Members and team progress maintained in Google Spreadsheet

RSVP