Remove 2011 Remove Experimentation Remove Optimization
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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.” years after its launch in June 2006.

Sales 129
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Search: Not Provided: What Remains, Keyword Data Options, the Future

Occam's Razor

In late 2011, Google announced an effort to make search behavior more secure. As an analyst, I was upset that this change would hurt my ability to analyze the effectiveness of my beloved search engine optimization (SEO) efforts – which are really all about finding the right users using optimal content strategies.

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4 key roles that define transformational IT leaders today

CIO Business Intelligence

Rick Johnson, who has been a CIO since 2011, was appointed the first-ever chief digital officer at Marvin, a manufacturer of doors and windows in January 2023. This has meant that Sezgin has embraced a culture of innovation and experimentation. He says the CDO role there “is inclusive of a typical CIO role.”

IT 113
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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation. The first thing you’ll want to do is to run your test for a long time with fixed experimental units, in our case cookies.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. By 2011, the company had 20 full-time photographers on staff. But it is not routine. So, how do we fix this problem?

Metrics 157
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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Hypothesis development and design of experimentation. Take this as an example… How do you know that this is a profoundly sub-optimal collection of choices to provide? Pattern recognition and understanding trends.

Modeling 128
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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. 2011) earlier in this chapter. s lead may not be the optimal choice. Note: Maas, A., ourselves.