This research began as an investigation of the #metoo movement, with the initial impetus to illuminate the voices located on the margins, those who often go unheard or are never recognized. This work aimed to understand the intersectional aspects of how these hashtag variations …
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"Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook - already well known in the social sciences and the humanities - to convey intelligible results from data analysis algorithms and creat…
Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods of data science, decision makers can uncover hidden patterns in their data, develop algorithms and models that help improve processes and make key b…
Fundamentals of data science
by Wagh, Sanjeev J., Bhende, Manisha S., THAKARE, ANURADHA D.
0
Type: Book
Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science.Data Science is an umbrella t…
With UK Higher Education (HE) ever more scrutinised with the Teaching Excellence Framework, changes to finance and media attention student welfare and retention is becoming ever more important. Institutions are turning to technological methods to assist wherever possible. Use of…
Random signal measurement, in the form of random projections of signal vectors, extends the traditional point-wise and periodic schemes for signal sampling. In particular, the well-known problem of sensing sparse signals from linear measurements, also known as Compressed Sensing…
Electronic health record (EHR) data informs decision-making in clinical care; however, EHR data are generally underused for other purposes, including secondary use applications. The need to leverage EHR data, including clinical notes, is highlighted by the COVID-19 pandemic, as …
Substance use has been a public health concern in the U.S. In response to the opioid crisis, the implementation of both effective public health programs and behavioral interventions are needed. At the state level, prescription drug monitoring programs (PDMPs) grant prescribers a…
This quantitative correlational study analyzes how NFL coaches risk when faced with fourth-down situations during regular season games. Historical coaching decisions from the past 10 years of regular season games were analyzed to compute the expected probabilities of successful …
This dissertation describes tools and techniques for applying data to inform decisions made in electric power systems. We explore how limitations inherent to data sets can contribute to model uncertainty, and formulate quantitative methods for issuing recommendations that are ro…
Proverbs are an essential component of language and culture, and though much attention has been paid to their history and currency, there has been comparatively little quantitative work on the frequency with which they are used, and the dynamics of their use over time. With wide…
History provides context for the present. In the same way, past user interactions provide context for present explorations. This thesis investigates ways to reify user interaction history to address emerging challenges in the design and programming of human-data interfaces.
How is knowledge created at the intersections between basic science, biotechnology, and industry? Gene drives are an interesting example, as they combine a long-standing interest with a recent technological breakthrough and a new set of commercial applications. Gene drives are g…
