Main Challenges of Machine Learning
Main task is to select a learning algorithm and train it on some data,
the two things that can go wrong are “bad algorithm” and “bad data.”
- Insufficient Quantity of Training Data
- Non-Representative Training-Data
- Poor-Quality Data
- Irrelevant Features
- Overfitting The Training Data
- Under Fitting of Training Data
YouTube Link: https://www.youtube.com/watch?v=7qLek-ZV7J4
