Tag Archives: Anaconda

Predicting the 2019 MQ

The die is cast. Last month, Gartner selected 16 vendors to include in its 2019 Magic Quadrant for Data Science and Machine Learning. Now, as Gartner prepares to publish the report early next year, I think it will be fun to make some predictions about how each vendor will fare. Some ground rules. I’m not going to talk about DataRobot,

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Forrester’s 2018 PAML “Waves”

Forrester just published two “Wave” reports for predictive analytics and machine learning. The first, covering “multi-modal” solutions, is available here for free. A second report, covering notebook-based solutions, is available here (registration required.) Forrester plans to publish a third report, covering automated machine learning vendors, in 2019. Kudos to Forrester for understanding the diversity of the data science tools market.

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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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Big Analytics Roundup (February 15, 2016)

We have a nice harvest of explainers this week, plus eight hard news stories: Gartner Updates Advanced Analytics MQ DataRobot Lands Cash MapR and Hortonworks Report Robust Revenue StreamAnalytix Adds Spark Support BlueData Announces Something Looker Delivers SQL on Hadoop New RStudio Release New Anaconda Release R has a new logo. On the Databricks blog, Tim Hunter and Joseph Bradley announce

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Big Analytics Roundup (December 7, 2015)

Cloudera’s expanded Spark support leads the news this week, together with a Data Science Virtual Machine from Microsoft.  Neural network devotees will be pleased to see that Keras now runs on TensorFlow. On the Databricks blog, H2O.ai’s Michal Malohlava describes Sparking Water, a Spark package that enables data scientists to build machine learning pipelines that integrate Spark and H2O functions.

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Big Analytics Roundup (July 27, 2015)

Top stories this week:  Palantir’s valuation grows, Continuum Analytics gets a bump, Cloudera announces a Python interface for Impala, and we have a winner in KDD Cup 2015. Nate Desmond chronicles Palantir‘s $15 Billion growth story just as the company hits $20 Billion. Conversion Logic wins the KDD Cup 2015, which L.A. Biz characterizes as the “Nerd Olympics”. Here’s a picture

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