Modern cyber security operations collect an enormous amount of logging and alerting data. While analysts have the ability to query and compute simple statistics and plots from their data, current analytical tools are too simple to admit deep understa...
The goal of this paper is to describe the science verification of Milky Way Mapper (MWM) APOGEE Stellar Parameter and Chemical Abundances Pipeline (ASPCAP) data products published in Data Release 19 (DR19) of the fifth phase of the Sloan Digital Sky...
Jan 22, 2026 · Deliverability to Outlook.com is based on your reputation. The Outlook.com Smart Network Data Services (SNDS) gives you the data you need to understand and improve your …
We present a data-driven pipeline developed in collaboration with the Power Packs Project, a nonprofit addressing food insecurity in local communities. The system integrates data extraction from PDFs, large language models for ingredient standardizat...
:abacus: Algorithms and Data Structures in several Programming Languages (⭐ 1080)
Hey everyone, I’m actively applying for full-time Data Scientist / ML Engineer roles in the U.S. and would deeply appreciate **brutally honest, constructive feedback** on my resume. I’ve tried t...
Mar 8, 2020 · Due to increasing student demand and the use of data analysis in different fields, CMC plans to implement a new data science major by the fall of 2020 or 2021. The faculty committee will …
When data are organized in matrices or arrays of higher dimensions (tensors), classical regression methods first transform these data into vectors, therefore ignoring the underlying structure of the data and increasing the dimensionality of the probl...
User Experience (UX) professionals need to be able to analyze large amounts of usage data on their own to make evidence-based design decisions. However, the design process for In-Vehicle Information Systems (IVIS) lacks data-driven support and effect...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Run-length encoding (RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a
The Daya Bay Reactor Neutrino Experiment started running on September 23, 2011. The offline computing environment, consisting of 11 servers at Daya Bay, was built to process onsite data. With current computing ability, onsite data processing is runni...
Preprocessing and cleaning processes are performed to retrieve news from the data set and select specific words, then the data is tokenized, then the data is trained and the result is obtained. - Veri setinden haberleri alıp belirli kelimeleri almak için önişl…
The Advanced Data Protection Control (ADPC) is a technical specification - and a set of sociotechnical mechanisms surrounding it - that can change the current practice of Internet-based personal data protection and consenting by providing novel and s...
We propose a maximum entropy (ME) based approach to smooth noise not only in data but also to noise amplified by second order derivative calculation of the data especially for electroencephalography (EEG) studies. The approach includes two steps, a...
Source Code for 'Spring Cloud Data Flow' by Felipe Gutierrez (⭐ 12)
Answers to 120 commonly asked data science interview questions. (⭐ 3835)
Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process
We study the use of power weighted shortest path distance functions for clustering high dimensional Euclidean data, under the assumption that the data is drawn from a collection of disjoint low dimensional manifolds. We argue, theoretically and exper...
We develop an active set algorithm for the maximum likelihood estimation of a log-concave density based on complete data. Building on this fast algorithm, we indidate an EM algorithm to treat arbitrarily censored or binned data....