In this episode of Eyes on Enterprise, Stephanie Wong invites Yufueng Guo, Developer Advocate for machine learning, to talk about how enterprises can incorporate ML into their environments, build workflows, and apply them to real world scenarios. Specifically, they discuss how to frame ML as descriptive, predictive, or prescriptive problems, and when to use tooling like Tensorflow, Keras, Scikit Learn, and Pytorch.
The 7 Steps of Machine Learning → https://goo.gle/3aUPQd5
AI Platform → https://goo.gle/2UyIPb1
The fight against illegal deforestation with TensorFlow → https://goo.gle/38I0gLk
AI Experiments → https://goo.gle/3aBsY1Y
For more content like this, subscribe to the GCP Channel → https://goo.gle/34tknuO
Watch more episodes of Eyes on Enterprise → https://goo.gle/2Uipf3X
Product: Cloud Machine Learning Engine; fullname: Stephanie Wong, Yufeng Guo;
Publisher: Google Cloud
You can watch this video also at the source.