arxiv.org/abs/1606.06808v5
People and machines are collecting data at an unprecedented rate. Despite this newfound abundance of data, progress has been slow in sharing it for open science, business, and other data-intensive endeavors. Many such efforts are stymied by privacy c...
arxiv.org/abs/1111.3983v1
The ADS All-Sky Survey (ADSASS) is an ongoing effort aimed at turning the NASA Astrophysics Data System (ADS), widely known for its unrivaled value as a literature resource for astronomers, into a data resource. The ADS is not a data repository per s...
arxiv.org/abs/2509.03510v1
This paper introduces a comprehensive database for research and investigation on the effects of inheritance on handwriting. A database has been created that can be used to answer questions such as: Is there a genetic component to handwriting? Is hand...
github.com/Code360In/apache-spark-programming-with-databricks
Owner: Jacob Parr | Apache Spark Programming with Databricks (⭐ 3)
arxiv.org/abs/2401.13645v1
It is well known that to accelerate stencil codes on CPUs or GPUs and to exploit hardware caches and their lines optimizers must find spatial and temporal locality of array accesses to harvest data-reuse opportunities. On FPGAs there is the burden th...
arxiv.org/abs/1705.00970v1
We propose a new method for representing data sets with a set of binary feature functions. We compute both the dyadic set structure determined by an order on the binary features together with the canonical product coefficient parameters for the assoc...
github.com/rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently. (⭐ 3310)
arxiv.org/abs/2104.02456v3
Despite increasing accessibility to function data, effective methods for flexibly estimating underlying functional trend are still scarce. We thereby develop functional version of trend filtering for estimating trend of functional data indexed by tim...
arxiv.org/abs/1704.05573v1
In this paper, we propose a vital data analysis platform which resolves existing problems to utilize vital data for real-time actions. Recently, IoT technologies have been progressed but in the healthcare area, real-time actions based on analyzed vit...
arxiv.org/abs/1706.02557v1
In this paper, we propose a vital data analysis platform which resolves existing problems to utilize vital data for real-time actions. Recently, IoT technologies have been progressed but in the healthcare area, real-time actions based on analyzed vit...
arxiv.org/abs/2312.03918v2
Privacy labels -- standardized, compact representations of data collection and data use practices -- are often presented as a solution to the shortcomings of privacy policies. Apple introduced mandatory privacy labels for apps in its App Store in Dec...
www.bing.com/ck/a?!&&p=623f5c657e91f4a82732a59c160e19fcfb2ca74d52b2990a88223104b32dd139JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=2a786f70-efdc-67c8-3ef4-7864eefd66a1&u=a1aHR0cHM6Ly9zdXBwb3J0Lmdvb2dsZS5jb20vYWNjb3VudHMvYW5zd2VyLzE0MDEyMzU1P2hsPWVu&ntb=1
Manage data in your Google Account: Third-party apps or services may request permission to edit, upload, create, or delete data in your Google Account. A film editor app may edit your video and …
arxiv.org/abs/2603.02638v1
Machine learning for mobile network analysis, planning, and optimization is often limited by the lack of large, comprehensive real-world datasets. This paper introduces the Vienna 4G/5G Drive-Test Dataset, a city-scale open dataset of georeferenced L...
www.bing.com/ck/a?!&&p=a991e910fcf7a0c42ccf86390c4dc2ab9cc56e2f2cb6c49683a3e3801c711f99JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=2f5aee5a-70bf-6930-0b3a-f94e712768d2&u=a1aHR0cHM6Ly9zdXBwb3J0Lmdvb2dsZS5jb20veW91dHViZWNyZWF0b3JzdHVkaW8vYW5zd2VyLzc1Nzc5MTY_aGw9ZW4tY2E&ntb=1
Understand your unique viewers data You can use unique viewers data to get a clearer picture of your audience size, or the estimated number of viewers who came to watch your videos over a given time …
arxiv.org/abs/1506.05101v1
Bioinformatics research is characterized by voluminous and incremental datasets and complex data analytics methods. The machine learning methods used in bioinformatics are iterative and parallel. These methods can be scaled to handle big data using t...
www.bing.com/ck/a?!&&p=fb601be9c86f4679713fb702e3a5ccc3219b55683408692e06e8caa93ecddd56JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=2486c763-b703-6340-35fd-d077b673621a&u=a1aHR0cHM6Ly9zdGF0cy5zdGFja2V4Y2hhbmdlLmNvbS8&ntb=1
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
www.bing.com/ck/a?!&&p=1da0596dbd10b29848466927576cca591fb41cf7d6c963f28880a87a69441b39JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=3cee37b5-cb49-64e1-36f1-20a1cabb6556&u=a1aHR0cHM6Ly93d3cuYW1pZGEuY29tL2V4cGVydGlzZS8&ntb=1
Amida is a leader in health informatics and data analytics. Our expertise spans healthcare information systems, data standards, analytic methodologies, and business operations.
www.reddit.com/r/Spacemarine/comments/1myhzjp/interactive_operation_maps_for_gene_seed_data_and/
I've been working on maps that show all the spawns for the most important pickups in Operations (Gene Seed, Armory Data, Guardian Relics, and also Data Slates), and if you click on the icons it will b...
www.bing.com/ck/a?!&&p=a22f718e1c053ee86876439eafc97495fb92cfe487e171baad0f67ca355d8400JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=11c555af-1442-6476-136d-42bb159b65cc&u=a1aHR0cHM6Ly9zdXBwb3J0Lmdvb2dsZS5jb20vYW5hbHl0aWNzL2Fuc3dlci85MzA0MTUzP2hsPWVu&ntb=1
To set up data collection for an app, read these instructions. Next steps After you have set up data collection, complete additional configurations to get more useful data out of Analytics. Review the …
github.com/avvorstenbosch/Masterclass-LLMs-for-Data-Science
The masterclass "Large Language Models for Data Science" explains what LLMs are, what they can and cannot do, and what they can be used for. (⭐ 207)