Tag Archives: Dataiku

Notes on the Forrester “Wave”

Forrester recently published the Wave™ for Predictive Analytics And Machine Learning Solutions. You can purchase a copy from Forrester for $2,495, or get a free copy here. When Forrester last delivered this analysis in 2015, they called it the Wave™ for Big Data Predictive Analytics Solutions. So, I guess that Big Data is “out” and machine learning is “in.” The chart below shows the

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The Year in Machine Learning (Part Four)

This is the fourth installment in a four-part review of 2016 in machine learning and deep learning. — Part One covered Top Trends in the field, including concerns about bias, interpretability, deep learning’s explosive growth, the democratization of supercomputing, and the emergence of cloud machine learning platforms. — Part Two surveyed significant developments in Open Source machine learning projects, such as R, Python, Spark, Flink,

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Machine Learning Roundup 10/14/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Note to readers: Big Analytics will rebrand as ML/DL on Monday, October 17. Fundamentals — Cynthia Harvey explains the difference between AI, ML, and DL. Issues — Arun Krishnan asks: can algorithms reinforce our biases? — In Nature, Kate Crawford and Ryan Calo note rising use of AI, summarize

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Big Analytics Roundup (August 8, 2016)

So, Apple acquires Turi for $200 million. Hopefully, Apple did not pay for brand equity. Bridget Botelho argues that businesses must either disrupt or be disrupted, and outlines the role of machine learning. Someone should write a book about that. Conference Announcements — Flink Forward announces the schedule for its second annual event, to be held September 12-14 in Berlin. —

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Big Analytics Roundup (April 25, 2016)

Mesosphere wins the internet this week with its announcement that it has open sourced DC/OS, its datacenter virtualization project built around Apache Mesos. While not an “analytics” project per se, DC/OS has the potential to transform how organizations provision and deploy their analytics platforms. In a nutshell, Apache Mesos distributes workloads across physical IT resources. DC/OS adds a container orchestration platform; installation,

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