Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
Recommendation engines are a common use case for machine learning. Other popular uses include fraud detection, spam filtering, malware threat detection, business process automation (BPA) and predictive maintenance.
|Topic Name||No. of Videos||No. of Questions|
|Linear Regression with One Variable||1||100|
|Linear Algebra Review||5||100|
|Linear Regression with Multiple Variables||2||100|
|Neural Networks: Representation||2||100|
|Neural Networks: Learning||6||100|
|Advice for Applying Machine Learning||3||100|
|Machine Learning System Design||4||100|
|Support Vector Machines||7||100|
|Large Scale Machine Learning||5||100|
|Application Example: Photo OCR||1||100|