Author Archives:
Avoiding abuse and misuse of T-test and ANOVA: Regression for categorical responses – Towards Data Science
We do the model comparison using the the loo package (9, 10) for leave-one-out cross validation.
Beyond Data Scientist: 10 Data Science Roles are Worth Applying For – Analytics Insight
In the ever-evolving landscape of data science, the demand for skilled professionals continues to soar.
Using AI and Data Science to ReNOURISH Food Deserts – University of California San Diego
Twenty-four million Americans live in food deserts where ultraprocessed foods are abundant and fresh food is scarce, giving rise to large health disparities in diabetes and related cardiometabolic diseases. To address this problem, an interdisciplinary team of researchers from UC San Francisco and UC San Diego conceptualized the NOURISH platform, winning support last year from the U.S
Researcher uses data science to address homelessness | UNC-Chapel Hill – The University of North Carolina at Chapel Hill
In the U.S., more than650,000 people dont have homes up 12% in 2023. Thats the largest jump seen since the government began collecting this data in 2007. The Triangle is no exception.More than 6,000 people identify as homelessin Raleigh and Wake County
How to Empower Pandas with GPUs. A quick introduction to cuDF, an NVIDIA | by Naser Tamimi | Apr, 2024 – Towards Data Science
DATA SCIENCE A quick introduction to cuDF, an NVIDIA framework for accelerating Pandas 6 min read Pandas remains a crucial tool in data analytics and machine learning endeavors, offering extensive capabilities for tasks such as data reading, transformation, cleaning, and writing. However, its efficiency with large datasets is somewhat limited, hindering its application in production environments or for constructing resilient data pipelines, despite its widespread use in data science projects. Similar to Apache Spark, Pandas loads the data into memory for computation and transformation
From Economics to Electrocardiograms, Data Science Projects Get a Boost From New Seed Grants – University of Utah Health Sciences
Explaining Data Evolution Anna Fariha, PhD (School of Computing) Nina de Lacy, MD (Department of Psychiatry) Scalable and Information-Rich Sequence Search Over SRA for Advanced Biological Analyses Prashant Pandey, PhD (School of Computing) Aaron Quinlan, PhD (Departments of Human Genetics and Biomedical Informatics) Connecting the Metabolite-Protein Interactome: Precision Diet and Drug Synergy for Enhanced Cancer Care Mary Playdon, PhD (Departments of Nutrition & Integrative Physiology and Population Health Sciences) Kevin Hicks, PhD (Department of Biochemistry) Aik Choon Tan, PhD (Departments of Oncology and Biomedical Informatics) Information Theoretic Approaches to Causal Inference Ellis Scharfenaker, PhD (Department of Economics) Braxton Osting, PhD (Department of Mathematics) Automated Live Meta-Analysis of Clinical Outcomes Using Generative AI Fatemeh Shah-Mohammadi, PhD (Department of Biomedical Informatics) Joseph Finkelstein, MD, PhD (Department of Biomedical Informatics) Modeling the Effect of Artificial Nature Exposure on Brain Health in Bed-bound Populations Using Variational Autoencoders Elliot Smith, PhD (Department of Neurosurgery) Jeanine Stefanucci, PhD (Department of Psychology) Using Controlled Animal ECG Recordings for Machine Learning-Based Prediction of Myocardial Ischemia Outcomes Tolga Tasdizen, PhD (Department of Electrical & Computer Engineering and School of Computing) Ben Steinberg, MD (Division of Cardiovascular Medicine) Rob MacLeod, PhD (Departments of Biomedical Engineering and Internal Medicine)
Tips for Getting the Generation Part Right in Retrieval Augmented Generation – Towards Data Science
Image created by author using Dall-E 3 Results from experiments to evaluate and compare GPT-4, Claude 2.1, and Claude 3.0 Opus My thanks to Evan Jolley for his contributions to this piece New evaluations of RAG systems are published seemingly every day, and many of them focus on the retrieval stage of the framework. However, the generation aspect how a model synthesizes and articulates this retrieved information may hold equal if not greater significance in practice
5 Data Analyst Projects to Land a Job in 2024 – KDnuggets
I got my first data analytics internship back in 2020. Ever since then, Ive transitioned into a senior-level full-time role, landed multiple freelance data analytics gigs, and consulted for companies in different parts of the world
A Proof of the Central Limit Theorem | by Sachin Date | Apr, 2024 – Towards Data Science
Lets return to our parade of topics. An infinite series forms the basis for generating functions which is the topic I will cover next. The trick to understanding Generating Function is to appreciate the usefulness of aLabel Maker.
Spider conversations decoded with the help of machine learning and contact microphones – Popular Science
Arachnids are born dancers.