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Don’t use AI when BI will suffice!

转载自:https://blog.dataiku.com/dont-use-ai-when-bi-will-suffice

Claire Carroll


发表于 2018-11-05

Artificial Intelligence (AI) offers organizations immense power, from predictions to recommendations to smarter decision making - but organizational resistance to this shift is a huge problem. When data-driven engines present findings that differ from executives’ intuition, nine out of ten executives ask for more data instead of trusting the engine.

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NG "roll returns" – inflection point?

转载自:http://feedproxy.google.com/~r/RBloggers/~3/E2mFET_xxlo/

Lloyd Spencer


发表于 2018-11-05

After more than a decade of consistent losses from rolling a long NG position, the cumulative return has been positive for the past 12 months.  This has only occurred briefly during the ‘polar vortex’ of early 2014 and during the 2008 commodities ‘super cycle’ peak.

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The 3Ds of Machine Learning Systems Design

转载自:http://inverseprobability.com/2018/11/05/the-3ds-of-machine-learning-systems-design

未知


发表于 2018-11-05

There is a lot of talk about the fourth industrial revolution centered around AI. If we are at the start of the fourth industrial we also have the unusual honour of being the first to name our revolution before it’s occurred.

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Top Data Science Hacks

转载自:https://dimensionless.in/top-data-science-hacks/

Kartik Singh


发表于 2018-11-05

A data science project requires numerous iterations that are time-consuming. When dealing with numbers and data interpretations, it goes without question that you have to be quite smart and proactive.

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Vanderbilt University’s Peabody College: Sr. Lecturer in Data and Analytics [Nashville, TN]

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/66JWvsurKl4/11-05-vanderbilt-university-sr-lecturer-data-analytics.html

Matt Mayo Editor


发表于 2018-11-05

At: Vanderbilt University’s Peabody College Location: Nashville, TNWeb: peabody.vanderbilt.edu/departments/lpo/index.phpPosition: Senior Lecturer in Data and Analytics

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Coding Gradient boosted machines in 100 lines of code

转载自:http://feedproxy.google.com/~r/RBloggers/~3/6FLI4Mw8Ks8/

André Bleier


发表于 2018-11-05

Motivation There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics, however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks. At STATWORX we discuss algorithms daily to evaluate their usefulness for a specific project or problem. In any case, understanding these core algorithms is key to most machine learning algorithms in the literature.

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Linear Regression in Real Life

转载自:https://www.dataquest.io/blog/linear-regression-in-real-life/

Carolina Bento


发表于 2018-11-05

This post was written by Carolina Bento. She leads Data Analytics teams that empower companies to make data-driven decisions, and currently manages Product Analytics team at eero. This article was originally posted on Medium, and has been reposted with permission.

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Telling Truth from Hype When Hunting for Data Science Work

转载自:https://blog.thedataincubator.com/2018/11/telling-truth-from-hype-when-hunting-for-data-science-work/

Christian Golden


发表于 2018-11-05

There’s a lot of talk these days about “fake news”, and for good reason. But the growing uneasiness about relying on information from the web has crept beyond politics into other areas, including the search for employment. Scams and fake offers are an unfortunate reality of online job searches across industries.

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Peter Bull discusses the importance of human-centered design in data science.

转载自:http://feedproxy.google.com/~r/RBloggers/~3/H6zErx7QggA/

Hugo Bowne-Anderson


发表于 2018-11-05

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Data Science With R Course Series – Week 8

转载自:http://feedproxy.google.com/~r/RBloggers/~3/AKJUaoXGMxU/

business-science.io - Articles


发表于 2018-11-05

This is a fun part of the course where you learn how to add value to the business by providing ROI-Driven Data Science!

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