Remove 2007 Remove Data Processing Remove Modeling
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Top 10 ERP Thought Leaders to Follow in 2021

Jet Global

Ray is a prominent and dynamic keynote speaker and research analyst working with clients on digital innovation, business model design, engagement strategies, customer experience, matrix commerce, and big data. He is also the host of DisrupTV , a weekly enterprise tech and leadership webcast. Twitter followers : 133,900. Blog posts : –.

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Digital banking boosts financial inclusion, new business models in Africa

CIO Business Intelligence

Behind this trend is a retail banking sector booming with new business models which are emerging in response to low levels of banking penetration and heavy dependence on cash in sub-Saharan Africa. “A East Africa is providing the model for the rest of the continent to build on and adapt.

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Teaching AI to Smell by Using DataRobot

DataRobot

To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. It was introduced in 1980 but open-sourced in 2007, which created its widespread use. The best model for this dataset is a Keras-based neural network. Each molecule has a combination of multiple smells.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

For example, consider a smaller website that is considering adding a video hosting feature to increase engagement on the site. The fantasy football and video hosting examples, which we will discuss in more detail later, highlight situations where this design might be considered, despite potential complexity in the analysis.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. EC2 was a more evolved version of a Virtual Machine.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Parametric measurements Thus far, we’ve been discussing non-parametric approaches to measuring reliability and validity, but in this section we’ll present an approach to get the same measurements from parametric models. Each item receives multiple labels, and each person labeling this data assesses multiple items.