Name 4 cases where it might be interesting to use Machine Learning techniques!
Problems, where the solutions require a lot of fine tuning of a long list of rules
Complex problems, for which using a traditional approach Leeds to no good solution
Fluctuating environments —> ML system can adopt to new data
Getting insights about complex problems and large amounts of data
What is the difference between supervised and unsupervised lerning?
In a supervised lerning system, the system is trained with human supervision
Whats the difference between batch and online learning?
Online: The system learns incrementally
Batch: The system learns in regular time steps (every week/month)
How is the desired solution in a supervised learning model called?
In supervised learning, the training set you feed to the algorithm includes the desired solution, which are called labels.
Name a typical example for supervised learning!
Spam mail classification is a typical example for supervised learning. The user labels the spam mails in his mail box with the spam label.