front matter
foreword
I first met the author, Ville Tuulos, in 2012 when I was trying to understand the hype around Hadoop. At the time, Ville was working on Disco, an Erlang-based solution to map-reduce that made it easy to interact with Python. Peter Wang and I had just started Continuum Analytics Inc., and Ville’s work was a big part of the motivation for releasing Anaconda, our distribution of Python for Big Data.
As a founder of NumPy and Anaconda, I’ve watched with interest as the explosion of ML Ops tools emerged over the past six to seven years in response to the incredible opportunities that machine learning presents. There are an incredible variety of choices and many marketing dollars are spent to convince you to choose one tool over ...
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