Philip Guo (Phil Guo, Philip J. Guo, Philip Jia Guo, pgbovine)

How Did People Write Machine Learning Code in the Past?

Machine learning seems to be everywhere you look now! This image shows the rising interest in Google searches for "machine learning" from 2008–2018.

Throughout the past decade, the growing availability of cloud computing power and open-source frameworks have made it much easier to implement machine learning systems than in the past. For instance, popular frameworks such as TensorFlow, Keras, PyTorch, Caffe, and Theano have greatly lowered the barriers to writing machine learning code in languages such as Python. Even more recently, JavaScript-based frameworks such as TensorFlow.js, ConvNet.js, and Brain.js have made it possible to experiment with machine learning (ML) directly in web browsers.


[Read the rest of this article at the CACM blog]

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Created: 2018-09-05
Last modified: 2018-09-05
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