Certificate in Machine Learning 

Programmers

Developers

Data analysts

Statisticians

Data scientists

Software engineers

Redefine problems using machine learning concepts and terminology

Create a face recognition system using a simple algorithm

Estimate probabilities distributions from data and implement the naive Bayes algorithm to create a name classifier

Apply convex optimization and implement a linear classifier to create an email spam filter

Use effective hyperparameter search to select a well-suited machine learning model and implement a machine learning setup from start to finish

Improve the prediction accuracy of an algorithm using bias-variance trade-off

Extend the applicability of linear classifiers to learn non-linear decision boundaries from more complex datasets

Train a neural network that achieves cutting-edge accuracy by incorporating appropriate assumptions about your data

Build generative models to create text and image outputs

Machine Learning certificate program equips you to implement machine learning algorithms using Python

You will use a combination of math and intuition to practice framing machine learning problems and construct a mental model to understand how data scientists approach these problems programmatically

This program uses Python and the NumPy library for code exercises and projects which will be completed using Jupyter Notebooks