DevOps is the union of people, process, and products to enable continuous delivery of value to our end users. Azure DevOps is everything you need to turn an idea into a working piece of software.

While this video may be aimed at ASP.NET developers, don’t let that put you off. DevOps is coming to the Data Science and AI world. It may be called “DataOps,” but nevertheless, this is coming to our world. It’s best to learn it early.

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Here are some interesting thoughts from a frequent (and I do mean frequent) contributor to Towards Data Science. An article on Data Science once a week? I need to up my game from monthly to daily!

In any case, here are the five takeaways from a year of weekly data science writing are:

  1. You can learn everything you need to know to be successful in data science without formal instruction
  2. Data science is driven by curiosity
  3. Consistency is the most critical factor for improvement in any pursuit
  4. Data science is empirical: instead of relying on proven best methods, you have to experiment to figure out what works
  5. Writing about data science — or anything —is a mutually beneficial relationship as it benefits you and the entire community

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I love the pace and speed of innovation in the AI space and in the IoT arena. What we are seeing now are those two worlds converging. I suspect that we are going to see a lot more AI algorithms run on edge devices.

Here’s a look at the new Flex Logix inference chip.

The new Flex Logix inference chip can improve performance and reduce power consumption associated with computer vision algorithms. This week, at the International Security Conference, vendors showed off new sensors and solutions for the security market. A notable trend at the show was a large influx of tech that […]

James McCaffrey recently gave a talk on binary classification in Keras. Here are his thoughts on the topic.

I recently gave a short workshop/talk at the tech company I work for on binary classification using the Keras neural network code library. The goal of a binary classification problem is to predict something that can take on one of just two possible values. For example, you might want […]