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 interactive ebook takes a user-centric approach to help guide you toward the algorithms you should consider first. Learn which algorithms are associated with six common tasks, including:

• Predicting an output based on historical data
• Identifying objects in image, video, and signal data
• Moving physically or in a simulation

Get the interactive ebook to:

• See how your data, hardware, interpretability, speed, and accuracy requirements impact which 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.