Remove 2010 Remove Metrics Remove Optimization Remove Statistics
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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors.

Metrics 98
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Why Data Driven Decision Making is Your Path To Business Success

datapine

While sometimes it’s okay to follow your instincts, the vast majority of your business-based decisions should be backed by metrics, facts, or figures related to your aims, goals, or initiatives that can ensure a stable backbone to your management reports and business operations. Quantitative data analysis focuses on numbers and statistics.

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Unintentional data

The Unofficial Google Data Science Blog

1]" Statistics, as a discipline, was largely developed in a small data world. With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. They are full of specific insights you can use to optimize your online search campaigns. Five Caveats! These are just brand queries.

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

In May 2010 (!). The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. Check the definitions of various metrics. For example, if you see a metric called Cookies, find out exactly what that metric means before you use the data.

Metrics 123
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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Part of it fueled by some Consultants.

Analytics 118
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. We don’t see that in our data, though there are certainly some metrics to say that artificial intelligence has stalled. AI, Machine Learning, and Data. So why is it in third place?