Duke Center for Computational Thinking
Duke Center for Computational Thinking
  • Видео 141
  • Просмотров 103 193
Identity and Computation: Using Art to Question the Limitations of Machine Learning
Duke University Ph.D. student in Computational Media, Arts & Cultures Hugo Idarraga Franco discusses his thesis, which challenges the idea of some machine learning practitioners that the computability of the world is doable. His hypothesis is that machine learning indeed has limitations for classifying the world, which he tests through an interactive art installation.
Art installation footage courtesy of Yasaman Baghban.
Просмотров: 72

Видео

Environment & Health: Analyzing Air Pollution Effects During Pregnancy on Newborn Gene Expression
Просмотров 632 месяца назад
Duke Ph.D. candidate in the Nicholas School of the Environment and Computational Fellow Reshma Nargund discusses her project, which studies the effects of air pollution during a mother's pregnancy on the expression of newborn genes.
Analyzing Ocean Maps: Using New Data Technologies to Understand Ecological and Governance Challenges
Просмотров 602 месяца назад
Duke Ph.D. candidate in the Nicholas School of the Environment's Marine Science & Conservation program and Computational Fellow Emily Melvin discusses her project analyzing ocean maps and using data technologies to explore and understand the ecological and governance challenges they bring to light.
Training AI: Fine-Tuning a Chatbot for Duke
Просмотров 743 месяца назад
Duke University and Code program participant Jonathan Reyes discusses how he and his team trained a chatbot using Duke-specific information.
EcoBin: Using Image Recognition to Sort Recyclables
Просмотров 763 месяца назад
Duke University student Mick Tobin (class of 2025) describes the challenges and triumphs of using image recognition software to sort waste.
Solving with Software: Streamlining Package Pickup for Students
Просмотров 1675 месяцев назад
Duke University Code program participant Alex Pieroni (class of 2025) describes how he and his team developed a tool to address the issue of waiting in long lines to pick up packages at the Campus Mail Center. Begun as a Code (codeplus.duke.edu) project, the product is being piloted at Duke with the intention of moving it to production.
Revolutionizing Data Analysis with AI and AWS
Просмотров 1066 месяцев назад
Duke Master's in Electrical & Computer Engineering student Isaac Wang describes how his summer 2023 internship project transforms data analysis for scientific research making it more accessible, precise, and economical using AI and Amazon Web Services (AWS).
Neurocities and Ruinscapes: The Neuroscience of Eye Movement and Archeological Site Exploration
Просмотров 1318 месяцев назад
Eric Rios Soderman - a masters student in Interdisciplinary Studies and 2023 Data summer program participant discusses his team's project to track what people are looking at when they look at an archeological ruin.
Auditory Imagery: Using EEG to Distinguish Among Sound Categories
Просмотров 3208 месяцев назад
Julia Leeman a neuroscience and music double major (Duke class of 2024) and 2023 Data summer program participant discusses how her team employed machine learning of EEG data to study how the brain distinguishes among categories of sounds.
Taming the Beast: The Need for a Thoughtful AI Governance
Просмотров 1029 месяцев назад
Dr. Michael Pencina, Chief Data Scientist for Duke Health and Director of Duke AI Health, presents Taming the Beast: The Need for a Thoughtful Health AI Governance. Dr. Pencina shares strategies, pitfalls, and opportunities for healthcare data science, including the importance of improving equity. Recognized as an international authority on risk algorithms and their evaluation and governance, D...
Lifesaving Potential: Using Machine Learning to Screen for Breast Cancer
Просмотров 10410 месяцев назад
In this video, Duke Masters in Medical Physics student Kyle Ferguson discusses the potential of machine learning to screen for breast cancer. Kyle was a 2022 AI Health Machine Learning Summer School participant (aihealth.duke.edu/2022/04/18/duke-machine-learning-summer-school-2022/).
Exploring ChatGPT: Real World, Less-Controversial Uses for Everyday Life
Просмотров 8410 месяцев назад
Stephen Toback, Assistant Director of Academic Media Production and Engineering in Duke's Office of Information Technology, presents a compelling presentation on the advancements in generative artificial intelligence (AI), specifically focusing on chatbots. If you're unfamiliar with AI chatbots or are experienced and want to learn about new ways to leverage this technology, this session is wort...
Applying For Credit In A Digital World
Просмотров 3811 месяцев назад
Applying For Credit In A Digital World
Data Archiving and Publishing
Просмотров 103Год назад
Data Archiving and Publishing
Workflow: A Case Study
Просмотров 206Год назад
Workflow: A Case Study
Case Study Repositories
Просмотров 65Год назад
Case Study Repositories
Tenets of Reproduciblity
Просмотров 97Год назад
Tenets of Reproduciblity
Coding Notebooks
Просмотров 194Год назад
Coding Notebooks
Repository Hosting (GitHub)
Просмотров 189Год назад
Repository Hosting (GitHub)
Project Management Foundations
Просмотров 167Год назад
Project Management Foundations
Version Control (Git)
Просмотров 110Год назад
Version Control (Git)
What is Reproducibility?
Просмотров 643Год назад
What is Reproducibility?
Demystifying Cloud Computing: Creating Resources for Duke Users
Просмотров 102Год назад
Demystifying Cloud Computing: Creating Resources for Duke Users
Early Modern London Sermons: Using NLP to Determine Attitudes About Charitable Giving
Просмотров 80Год назад
Early Modern London Sermons: Using NLP to Determine Attitudes About Charitable Giving
2023 Health Data Science Poster Showcase
Просмотров 99Год назад
2023 Health Data Science Poster Showcase
Ways of Being in the World
Просмотров 32Год назад
Ways of Being in the World
What is Open Design?
Просмотров 252Год назад
What is Open Design?
Design with the Other: What Do We Mean by Equity Centered Design?
Просмотров 213Год назад
Design with the Other: What Do We Mean by Equity Centered Design?
Working with the Patchwork Package in R
Просмотров 368Год назад
Working with the Patchwork Package in R
Using dplyr Functions with ggplot in R
Просмотров 263Год назад
Using dplyr Functions with ggplot in R

Комментарии

  • @PhillipAllis-v1e
    @PhillipAllis-v1e 2 дня назад

    Gonzalez Anthony Young Jason Jones William

  • @PhillipAllis-v1e
    @PhillipAllis-v1e 2 дня назад

    Smith Susan Rodriguez Anna Williams John

  • @MathiasMortensen-nv3dh
    @MathiasMortensen-nv3dh 3 дня назад

    Jackson Maria White Daniel Brown Edward

  • @EricRobinson-c3i
    @EricRobinson-c3i 6 дней назад

    Thomas Helen Rodriguez Jennifer Lewis Robert

  • @makeupvideosbyAshima
    @makeupvideosbyAshima Месяц назад

    Please share dataset and code

  • @Olivier1
    @Olivier1 2 месяца назад

    Results from this experiment would be very helpful. I hope it works.

  • @melinaguillon2449
    @melinaguillon2449 3 месяца назад

    Thank you for your great teaching!

  • @sayanikadutta7143
    @sayanikadutta7143 3 месяца назад

    Am not able to launch project(6) . Is there a way for first time users to do it

    • @akshaybareja4697
      @akshaybareja4697 День назад

      Thank you for your question. This seems to be working fine on my end. Could you share what error message R is giving you? Are you able to launch other projects?

  • @shaahin6818
    @shaahin6818 4 месяца назад

    This study assumes that all papers are equal because they are academic in nature. This can't be farther from the truth. Heterodox journals publish different types of papers than mainstream journals do because heterodox tools and methods are different. The neoclassical economics articles are within the dominant paradigm and commonly econometrics/optimization studies of the problems from that perspective. They are not philosophical or reasoned articles; they don't have any historical approach; they don't look at other paradigms, even if they don't know that they exist. In contrast, the heterodox paradigms constantly use approaches that require this boundary. They need to define themselves, formulate, and justify their perspectives in contrast to the flawed dominant paradigm. This is a very good example of data science insufficiency in tackling a problem. While plotting a few time series is useful, it is rarely enough to understand a phenomenon. Answering a question such as "Is neoclassical economics a good term?" requires matching the neoclassical definitions and distinctive principles with what appears in their academic journals and textbooks. It is not a simple data science question. Nevertheless, data science can help. This study only demonstrates that mainstream journal articles use the term less frequently. Nothing more.

  • @briankennedy9287
    @briankennedy9287 5 месяцев назад

    I wish the videos were run in order

  • @briankennedy9287
    @briankennedy9287 5 месяцев назад

    sql works same but more clarity in R

  • @briankennedy9287
    @briankennedy9287 5 месяцев назад

    Can't understand nested code

  • @namelessbecky
    @namelessbecky 5 месяцев назад

    thank you

  • @olubunmiayoade
    @olubunmiayoade 6 месяцев назад

    Thank you for simplifying this. I subscribed immediately. It seems nobody really knew how to simplify it

  • @IsaacAmissah-ru7jz
    @IsaacAmissah-ru7jz 7 месяцев назад

    The best explanation i have watched on R and R studio, thanks

  • @user-gh3yv4gu5k
    @user-gh3yv4gu5k 7 месяцев назад

    This was really helpful , Thank you !

  • @Mattrycky
    @Mattrycky 8 месяцев назад

    What you came here for starts at 0:45

  • @hannukoistinen5329
    @hannukoistinen5329 8 месяцев назад

    Unbeliavable bullshitter!! R is much much more than a pipe-operator!!!!!

  • @meeganscariah670
    @meeganscariah670 9 месяцев назад

    Thanks for the video. Kindly share the dataset

  • @pinxipeople
    @pinxipeople 9 месяцев назад

    super helpful!

  • @mrfabianjuarez
    @mrfabianjuarez 9 месяцев назад

    Thank you! Learning pipes initially was a bit terrifying, but you made it so easy,😀 and completely understand now. On to the next lesson.

  • @plixie1
    @plixie1 9 месяцев назад

    Underrated explanation, I was taking a course and was still confused. You cleared it up quick.

  • @amaransi4900
    @amaransi4900 10 месяцев назад

    Could you please provide us the dft_df.csv file

  • @emjai2122
    @emjai2122 10 месяцев назад

    This video is not accurate. install.packages(“tidyverse”) downloads and installs ALL of the tidyverse packages. However, library(tidyverse) only loads the core 9 packages.

  • @user-hq2qk5dl7c
    @user-hq2qk5dl7c 10 месяцев назад

    which link below?

  • @user-hn3yn7re5k
    @user-hn3yn7re5k 10 месяцев назад

    very good ... can you send the data after preprocessing ... and the preprocessing code

  • @MrStephenmindo
    @MrStephenmindo 10 месяцев назад

    Hello Good day. Could I get access to your data and methods. I'm trying to do something similar in terms of measuring productivity but im not well versed in R. I could really appreciate if you could provide a link/source to your studies and how you went about trying to solve this. thanks

  • @fcbbarca3514
    @fcbbarca3514 10 месяцев назад

    where is the dataset

    • @ajaykathir8572
      @ajaykathir8572 10 месяцев назад

      hey, did you proceed with this code? do you have the dataset?

  • @dreznik
    @dreznik 11 месяцев назад

    the Tidyverse is infinitely superior for DS than Python.

  • @Bitroko
    @Bitroko 11 месяцев назад

    very powerful and simple video

  • @borachan7805
    @borachan7805 11 месяцев назад

    Where is the link?

  • @ashtonjames2882
    @ashtonjames2882 Год назад

    I’m in my DS masters programme and this helped me understand pipe so much! Thank you!

  • @DudeWhoSaysDeez
    @DudeWhoSaysDeez Год назад

    great video

  • @pratikpathade1308
    @pratikpathade1308 Год назад

    hello its really hellpful video. i am working with limma but I am having problem with the ebayes() function. please help me with it. and also can you provide the script of this tutorial.

    • @akshaybareja4697
      @akshaybareja4697 11 месяцев назад

      I’m a little surprised because if you’re able to run lmFit() without any errors, then you should also be able to run efit(). What error are you getting? Thanks for watching!

  • @1207thisisme
    @1207thisisme Год назад

    thank you so much for explaining this like Im 5 y/o

  • @claudesnyder5753
    @claudesnyder5753 Год назад

    💃 'Promo sm'

  • @user-vl9rl4bs2b
    @user-vl9rl4bs2b Год назад

    That was helpful and good, kindly provide the dataset and github link friend

    • @ajaykathir8572
      @ajaykathir8572 10 месяцев назад

      hey, did you proceed with this code? do you have the dataset?

  • @mocabeentrill
    @mocabeentrill Год назад

    Interesting use case of computation and programming.

  • @devisriprasad119
    @devisriprasad119 Год назад

    Luffy hat?

  • @marcfruchtman9473
    @marcfruchtman9473 Год назад

    Thank you for making this review. Much appreciated.

  • @haraldurkarlsson1147
    @haraldurkarlsson1147 Год назад

    Mine - for a book project in Quarto where do you suggest the libraries should be loaded? In each chapter separately or in some sort of front end document? As a LaTeX user I would be apt to put all my libraries (in LaTeX usepackage) in a single place. Does it matter?

  • @mocabeentrill
    @mocabeentrill Год назад

    Thank you.

  • @mocabeentrill
    @mocabeentrill Год назад

    Thank you very much. This is straight forward and very clearly explained.

  • @jujajuja742
    @jujajuja742 Год назад

    Hey I am trying to run the single cell experiment, umi <- SingleCellExperiment(assays = list(counts = as.matrix(molecules)), colData = annotation), but I am getting this error, Error in validObject(.Object) : invalid class "SummarizedExperiment" object: nb of cols in 'assay' (5) must equal nb of rows in 'colData' (19027). Why is this happening and how do I fix it? Thank you

  • @sabertoothwallaby2937
    @sabertoothwallaby2937 Год назад

    thank you

  • @gcbicca
    @gcbicca Год назад

    Thx so much for that lecture! You help me a lot!

  • @takudzwamatope2879
    @takudzwamatope2879 Год назад

    Wakapenga iwewe 🔥🔥🔥

  • @nickmatarutse
    @nickmatarutse Год назад

    Hoyo

  • @Gabu-San
    @Gabu-San Год назад

    Such a good explanation! Can you help me. I keep getting this error-Error in `bind_rows()`: ! Can't combine `..1$started_at` <datetime<UTC>> and `..2$started_at` <character>. Backtrace: 1. dplyr::bind_rows(q2_2019, q3_2019, q4_2019, q1_2020) . U have tried everything. I apologize but I'm really new to this. Thank you in advance.

  • @mocabeentrill
    @mocabeentrill Год назад

    Thank you so much. As a beginner, these exercises are helpful.