Problem-Solving with Machine Learning Course
COURSE ID: CIS531
This course begins by helping you reframe real-world problems in terms of supervised machine learning. Through understanding the “ingredients” of a machine learning problem, you will investigate how to implement, evaluate, and improve machine learning algorithms. Ultimately, you will implement the k-Nearest Neighbors (k-NN) algorithm to build a face recognition system. Tools like the NumPy Python library are introduced to assist in simplifying and improving Python code.
Who should enroll in this course?
- Data analysts
- Data scientists
- Software engineers
Machine Learning Certificate