Remove 2005 Remove Data Collection Remove Modeling
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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Although Bridgewater Associates brought the risk parity fund to the market, they didn’t define the word until 2005, when Edward Qian of PanAgora Asset Management used it for the first time in a white paper he published.

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How Data Analytics Is Revolutionizing The Future Of eCommerce In 2020

Smart Data Collective

Otherwise, you might as well have a circa 2005 static website. Most want a self-serve model that allows them to find all the information they need to make a purchase decision. If your business model is unique or you need maximum flexibility, make sure your solution is easily customizable. What makes a great customer experience?

B2B 135
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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. In this model, the Lambda function is invoked for each incoming event. The Lambda function is triggered at regular intervals using a scheduled EventBridge rule.

Analytics 122
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Experimenting to Win with Data

Sisense

Determining data goals, making a plan. Since 2005, Measuremen has helped its clients study and optimize facilities use. What is the change that they want to facilitate, and what data elements can help them in deciding how to improve or facilitate that change?”. Multiple methods to collect maximum data.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

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Best Web Analytics 2.0 Tools: Quantitative, Qualitative, Life Saving!

Occam's Razor

First presented at an eMetrics summit in 2005 the 10/90 rule was borne out of my observations of why most companies fail miserably at web analytics. Move from a data collection obsession and develop a crush on data analysys. Compete is a great place to get quick data about US Visitors for any website. Three tools.

Analytics 136
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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Consuming this data, we’ll often care about the mean of multiple labels.