How to Write Good

Break rules. That is the first principle of good writing. Conventional style and predictable prose will bore your audience. There is no greater sin. You think I don’t know the difference between good and well, and this blog will be a train wreck. Or you think the headline is a joke, and this blog will be fun to read. Either way,

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Predictions for 2019

It’s that time of year again. Time to drive stakes in the ground about the year ahead. Looking Back First, a brief look back to see if last year’s predictions aged well. You can read them here. Recap below. My predictions come with a lifetime guarantee: if you are not completely satisfied with them, I will return to you, in cash, the

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2018 in AI/ML

Well, 2018 is dead and gone. Time to take a look back at the year in AI/ML. A reminder that I work for DataRobot. This is my personal blog. Opinions are mine. On the Move It’s hard to believe that Amazon Web Services introduced Amazon SageMaker just a year ago, but here we are. AWS moved aggressively to enhance the

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AI/ML Roundup November 2018

Amazon Web Services announces enhancements to Amazon SageMaker, plus a slew of new AI/ML services. Enhancements to SageMaker include: Amazon SageMaker Ground Truth, a service that helps customers build training datasets for machine learning. Support for reinforcement learning   Amazon SageMaker Neo, a capability that enables developers to train machine learning models once and run them on many different hardware

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ML/AI Vendor Roundup October 2018

Hello, everyone! It’s time for another roundup of machine learning and AI news. Product enhancement, customer reference, partnership, acquisition, or other significant contributions. No hype! Vendors listed below in alphabetical order. Algorithmia Algorithmia publishes its first State of Enterprise Machine Learning report based on a survey of 500 data scientists. AWS Machine Learning AWS announces enhancements to SageMaker’s built-in image classifier.

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