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Data Science Blogs-R-Us

Rocket-Powered Data Science

There are some older blogs that I will be including in the list below as I remember them and find them. And then there’s this — not a blog, but a link to my 2013 TedX talk: “ Big Data, Small World.” The list is not complete and will be constantly evolving.

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8 Core Steps for Your Predictive Maintenance Strategy

Dataiku

In today's industrial landscape, where maintenance costs represent a substantial investment, the integration of predictive maintenance — fueled by real-time Internet of Things (IoT) data and machine learning (ML) — stands out as a pivotal strategy.

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Your Parents Still Don’t Know What a Hashtag Is. Let’s Teach Them the Basics of Machine Learning and Streaming Data

Cloudera

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

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Internet of Things in Healthcare – Three Examples of How IoT is Ushering in Advanced Healthcare

Cloudera

Most of us have seen the news stories and forecasts about the Internet of Things (IoT) and what a vast market and field of opportunity it will be. The post Internet of Things in Healthcare – Three Examples of How IoT is Ushering in Advanced Healthcare appeared first on Cloudera Blog. PharmacoEconomics.

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The journey to a mature asset management system

IBM Big Data Hub

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. This also prevents expensive machine downtime, production deferment and potential safety or environmental risks.

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Machine Learning Integration Options

Paul DeBeasi

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. Four Options for Integrating Machine Learning with IoT.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). What you have just experienced is a plethora of heteronyms. Can you find them all?

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