Deep Learning vs. Machine Learning: Choosing the Best Approach

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.

Learn which algorithms are associated with six common tasks, including:

  • Predicting an output based historical data

  • Identifying objects in image, video, and signal data

  • Moving physically or in a simulation

 

Get the pdf format 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.

 
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