You have data, hardware, and a goal—everything you need to implement machine learning or deep learning algorithms. But which one should you use?
This ebook takes a user-centric approach to help guide you toward the algorithms you should consider first.
See how your data, hardware, interpretability, speed, and accuracy requirements impact which the technique you should use.
Follow a walkthrough using a convolutional neural network for feature extraction and a support vector machine for classification.
Take a quiz to see if you can identify the algorithms used in five real-world use cases from Shell, Battelle, Stanford University, and others.