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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

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How Can You Use Machine Learning to Optimize Pricing in FinTech?

Smart Data Collective

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. Figuring out the best pricing model can be tricky. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions.

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5 Ways Local SEO Companies Are Optimizing Their Models With Big Data

Smart Data Collective

Big data has been especially important for optimizing their marketing campaigns. Big data is vital for helping SEO companies identify and rectify inefficiencies in their models. This is an overlooked benefit of using big data for keyword research and optimization. Local businesses need to rely heavily on SEO in 2019.

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

The merger of Periscope Data in May 2019 brings robust functionality for cloud data experts to work with their data as needed while supporting a wide breadth of users and use cases. Optimize raw data using materialized views. With a single click, an ensemble of univariate forecast models run against your data.

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Top 10 Data Governance Predictions for 2019

erwin

We’re making the following data governance predictions for 2019: Top 10 Data Governance Predictions for 2019. GDPR fines are coming and they will be massive : Perhaps one of the safest data governance predictions for 2019 is the coming clamp down on GDPR enforcement. Data is no longer just an IT issue.

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Business Intelligence Trends in 2019

Jet Global

As data stores scale and business need for advanced analytics and modeling get more desperate, only business intelligence software is uniquely situated to assist businesses with both the data warehousing and analytics needs required to respond to situations or market changes that can sometimes occur faster than they can react. Download Now.

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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. Still cloud-y, but with a possibility of migration.