As scientists, we have to interpret our data, extract meaning, form hypotheses, and support them.
At its core, machine learning uses algorithms to parse data, extract patterns, learn and make predictions and decisions based on the gleaned insights.
Figure 10 Data extract for providing feedback for night time events (complementing the intervention type assistance offered by NOCTURNAL).
The basic characteristics of the matched CPS data extract to be used in the econometric analyses are displayed in Table 2.
Such fast data expansion may result in challenges related to human ability to manage the data, extract information and gain knowledge from it.
Crime levels on the transport system are derived from a regular and consistent data extract from the Metropolitan Police Service and British Transport Police crime recording systems.
In this paper, we analyze a large volume of historical PCB design data, extract some important variables, and develop predictive models based on the extracted variables using a data mining approach.
The resulting feedback for the sensor data extract (Figure 11) highlights the detected issue (using the WC several times during the night and offers a solution (not drinking before bed).
Even if platforms that use ML as a primary method of detecting bad stuff could ingest and process all the data, extract all the features we want, and cluster them all appropriately, there is a massive philosophical issue at play here – the sanctity of customers' baselines.
The SEER-Medicare data extract used in this study did not include patients with multiple myeloma.
The data extract used in this study includes records up to June 2012.
