Big Picture View of Machine Learning & Deep Learning

  1. What is “Machine Learning”
  2. Why learn “Machine Learning”
    1. Prerequisites to learn
    2. How to learn
    3. How to learn
    4. How to practice
    5. How to get hired as Data Scientist
  3. Common Pitfalls
    1. What can ML & DL do
    2. What ML & DL can't do
    3. Mistakes while doing ML
  4. Brainstorming some Applications
Attendees System Requirements: 
None
Event Room No: 
707
Event Date: 
Saturday, February 16, 2019 - 13:00 to 14:00