data science
Doing data science : Straight talk from the frontline
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Attendance is required. Exams or homework can only be made up for extraordinary circumstances with prior approval of the instructor. Excused absences are consistent with university policies in the undergraduate catalog (https://catalog. ufl. edu/ugrad/current
50 years of Data Science
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More than 50 years ago, John Tukey called for a reformation of academic statistics. In The Future of Data Analysis, he pointed to the existence of an as-yet unrecognized science , whose subject of interest was learning from data , or data analysis. Ten to twenty years ago
R programming for data science
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I started using R in 1998 when I was a college undergraduate working on my senior thesis. The version was 0.63. I was an applied mathematics major with a statistics concentration and I was working with Dr. Nicolas Hengartner on an analysis of word frequencies in classic
Data science : The numbers of our lives
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The field has been spawned by the enormous amounts of data that modern technologies create be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are theThis book builds on and is a sequel to our book Targeted Learning: Causal Inference for Observational and Experimental Studies (2011). Since the publication of this first book on machine learning for causal inference, various important advances in targeted learning have
Data science : Accelerating innovation and discovery in chemical engineering
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All of science and engineering, including chemical engi-neering, is being transformed by new sources of data from high-throughput experiments, observational studies, and simulation. In this new era of data -enabled science and engineering, discovery is no longer
Project Jupyter: Computational narratives as the engine of collaborative data science
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Note: this is the full text of the grant proposal that was funded by the Helmsley Trust, the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation on April 201 as described on these two announcements from UC Berkeley and Cal Poly, and press releases
MLxtend: Providing machine learning and data science utilities and extensions to Pythons scientific computing stack
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MLxtend is a library that implements a variety of core algorithms and utilities for machine learning and data mining. The primary goal of MLxtend is to make commonly used tools accessible to researchers in academia and data scientists in industries focussing on
Weaponizing data science for social engineering: Automated E2E spear phishing on Twitter
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Background Historically, the security community has used Machine Learning (ML) in a defensive manner, for example in classifying malicious binaries or finding anomalous network traffic. Even now, startups continue to spring up advertising novel techniques for
Data science , big data and granular mining.
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With the evolution of various modern technologies, huge amount of data is being constantly generated and collected around us. We are in the midst of what is popularly called Information Revolution and are living in a so-called World of Knowledge. Intentionally and/or
DATA SCIENCE
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The technology development allows people to more easily communicate and convey information. The current communication media can facilitate its users to send and receive digital data, such as text, sound or digital image. But in terms of security, communications
Statistical literacy for active citizenship: A call for data science education
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Data are abundant, quantitative information about the state of society and the wider world is around us more than ever. Paradoxically, recent trends in the public discourse point towards a post-factual world that seems content to ignore or misrepresent empirical evidence. As
Analyzing and securing data using data science and blockchain in smart networks
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I Zainib Noshad (Registration No. CIIT/FA17-RSE-038/ISB) hereby declare that I have produced the work presented in this thesis during the scheduled period of study. I also declare that I have not taken any material from any source except referred to wherever due
Numpy/scipy recipes for data science : k-medoids clustering
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In this note, we study k-medoids clustering and show how to implement the algorithm using NumPy. To illustrate potential and practical use of this lesser known clustering method, we discuss an application example where we cluster a data set of strings based on bi-gram
Ensuring analyzing and monetization of data using data science and blockchain in loT devices
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I Atia Javaid (Registration No. CIIT/FA17-RSE-004/ISB) hereby declare that I have produced the work presented in this thesis during the scheduled period of study. I also declare that I have not taken any material from any source except referred to wherever due that amount of
HEALTH BANK-A Workbench for Data Science Applications in Healthcare.
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The enormous amounts of data that are generated in the healthcare process and stored in electronic health record (EHR) systems are an underutilized resource that, with the use of data science applications, can be exploited to improve healthcare. To foster the
Towards Data Science Literacy.
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The growing importance of data competency implies that adequate Data Science course offerings should be available to all students regardless of their interests, backgrounds and intended major. This paper describes the design and implementation of a course targeted at
Surgical data science : the new knowledge domain
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Is the subject area appropriate for you 5-High/Yes Does the title clearly reflect the papers content 4 Does the abstract clearly reflect the papers content 4 Do the keywords clearly reflect the papers content 4 Does the introduction present the problem clearly 4 Are theWith the advancement of remote sensing technology, wide usage of GPS devices in vehicles and cell phones, popularity of mobile applications, crowd sourcing, and geographic information systems, as well as cheaper data storage devices, enormous geo-referencedInformation and communication technology (ICT) has become a common tool for doing any business. With the high applicability and support provided by ICT, many difficult tasks have been simplified. On the other hand, ICT has also become a key factor in creating challenges
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