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Belcorp reimagines R&D with AI

CIO Business Intelligence

The second stage focused on building algorithms and models to predict and simulate intricate biological conditions, accelerate discoveries, reduce risks, and optimize the cost-benefit ratio of technological developments using AI solutions. The team leaned on data scientists and bio scientists for expert support.

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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). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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How To Select Ideal SEO Courses In The Big Data Era

Smart Data Collective

We have witnessed a number of ways that big data can influence the industry. Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools. You need to make sure that they take big data changes into account. In 2016, Inc.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. A modern BI platform supports IT-enabled analytic content development.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

2016) for an example of this technique (LIME). Notice that the PDP generation and inspection acts globally – this approach considers all data samples and provides insights on the relationship between the selected independent variables and the target given the dataset as a whole. 1135–1144, ACM, 2016. See Ribeiro et al.

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