Using BigML: An Introduction to Machine Learning & BigML

From self-driving cars to predicting stock prices machine learning has an exciting range of applications. BigML due to its ease of use makes these algorithms widely accessible. This course outlines machine learning fundamentals and how these are applied in BigML. Youll start by examining various machine learning algorithm categories and the kinds of problems theyre used to solve. Youll then investigate the classification problem and the process involved in training and evaluating such models. Next youll examine linear regression and how this can help predict a continuous value. Moving on youll explore the concept of unsupervised learning and its application in clustering Principal Component Analysis (PCA) and generating associations. Finally youll recognize how all of this comes together when using BigML to significantly simplify the building and maintenance of your machine learning models.