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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI.

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11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

and meet many many many executives and hear about their digital marketing strategies, challenges and outcomes. Your SEO strategy is buying links, expired domains, et. Bring a structured approach to your measurement strategy, bring some process, let a Web Analytics Measurement Model be the foundation of your program.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001!

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., In their 2002 paper Chawla et al. References.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St.

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Data Science at The New York Times

Domino Data Lab

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” It’s a visual problem so it works both in our MSE and it works by your eyeballs. For visualization we’re not building our own dashboards. Bell Labs basically was the “data science” of the day. And it works.