How Do You Get AI Into Production?
Developer Voices
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Spark and TensorFlow: The Future of Machine Learning
Spark has state-of-the-art algorithms that were developed in machine learning. But it doesn't always cover all the stack, and sometimes Spark schedule or itself can become a bottleneck for running advanced compute of a neural network. So I want to go back and actually recompute some of the things because now I realized that I did a mistake. This book tells the story. It's like here are all the wonderful things that you can do. And then if you need more tools in your arsenal, as you continue to developing and go forward, then here how you can bridge into these systems too.
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