Julia Hall Bowman Robinson (December 8, 1919 – July 30, 1985) was an American mathematician noted for her contributions to the fields of computability theory and computational complexity theory—most notably in decision problems. Her work on Hilbert's tenth problem (now known as Matiyasevich's theorem or the MRDP theorem) played a crucial role in its ultimate resolution. Robinson was a 1983 MacArthur Fellow. (Wikipedia).
From playlist mandelstir
Setting up Julia (using Juliabox.org) to import our dataset and start our data analysis.
From playlist The Julia Computer Language
Starting to take a closer look at our data using some descriptive statistics.
From playlist The Julia Computer Language
In this section I change all the coded values back to the actual values, just to clear things up when doing the analysis.
From playlist The Julia Computer Language
Introduction to Euclidean vector spaces with Julia
This is an introduction to linear algebra. We start with Euclidean vector spaces. This is a bit different from other courses that might start with linear systems. In the video, I motivate for the use of a computer language to help you understand the work and to check your results. A cod
From playlist Julia on Coursera
Julia has a special type for single characters.
From playlist The Julia Computer Language
History of Science and Technology Q&A (December 29, 2021)
Stephen Wolfram hosts a live and unscripted Ask Me Anything about the history of science and technology for all ages. Find the playlist of Q&A's here: https://wolfr.am/youtube-sw-qa Originally livestreamed at: https://twitch.tv/stephen_wolfram 0:00 Start stream 1:00 SW begins talking
From playlist Stephen Wolfram Ask Me Anything About Science & Technology
The Semifinals! | SLICED | S01E011 ft. David, Ethan, Julia, and Landon
SLICED is competitive data science! Contestants get a dataset they've never seen before and have 2 hrs. to make a model or be SLICED. 10/5 points from Chat Vote 10 points for finding Golden Features 30 points for best data visualizations 30/10/5 points for best predictions (measured
From playlist SLICED: SEASON 1
Why a Mathematics Festival? – Nancy Blachman
While some of you anxiously awaited Scientific American, I anxiously awaited Saint Mary's Math Contest qualifying problem sets. Finding it fun to learn through discovery (experiencing aha! insights), motivated me to create the Julia Robinson Mathematics Festivals (JRMF). Through hands-on e
From playlist G4G12 Videos
Nancy Blachman - How I Finagled Nearly 13 Invitations to White House Events in 2016 - G4G13 Apr 2018
Megan Smith, an assistant to President Obama, asked me if I was interested in improving math education for the US in 2015. I immediately let her know that I was. I didn't hear back from her until about a year had passed. When she asked me again in 2016, not only did I say "YES," but in my
From playlist G4G13 Videos
SLICED UNCUT | S01E11 Full Livestream ft. David, Ethan, Julia, and Landon
SLICED is competitive data science! Contestants get a dataset they've never seen before and have 2 hrs. to make a model or be SLICED. 10/5 pts from chat vote 10 points for finding Golden Features 30 points for best data visualizations 30/10/5 points for best predictions (measured by
From playlist SLICED UNCUT: SEASON 1
Julia for simple medical statistical analysis
The new version of this video is here: https://www.youtube.com/watch?v=m5V9WnG5hwc In this introductory video I take a first and quick look at using Julia in the Juno IDE (LighTable). I introduce the DataFrames package and populate an empty DataFrame with some data points from random var
From playlist The Julia Computer Language
New constraints on the Galois configurations of algebraic integers.. - Vesselin Dimitrov
Joint IAS/Princeton University Number Theory Seminar Topic: New constraints on the Galois configurations of algebraic integers in the complex plane Speaker: Vesselin Dimitrov Affiliation: University of Toronto Date: June 11, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Lecture 05_03 Modifying arrays
Now that we can create arrays, let's have a look at how to modify them.
From playlist The Julia Computer Language
SLICED UNCUT | S01E010 ft. Ethan, Jesse, Josh, and Julia [REUPLOAD]
SLICED is competitive data science! Contestants get a dataset they've never seen before and have 2 hrs. to make a model or be SLICED. 10/5 pts from chat vote 10 points for finding Golden Features 30 points for best data visualizations 30/10/5 points for best predictions (measured by
From playlist SLICED UNCUT: SEASON 1
History of Science and Technology Q&A (December 1, 2021)
Stephen Wolfram hosts a live and unscripted Ask Me Anything about the history of science and technology for all ages. Find the playlist of Q&A's here: https://wolfr.am/youtube-sw-qa Originally livestreamed at: https://twitch.tv/stephen_wolfram 0:00 Start stream 2:02 SW begins talking 2:4
From playlist Stephen Wolfram Ask Me Anything About Science & Technology
The Quarterfinals! | SLICED | S01E010 ft. Ethan, Jesse, Josh, and Julia
SLICED is competitive data science! Contestants get a dataset they've never seen before and have 2 hrs. to make a model or be SLICED. 10/5 pts from chat vote 10 points for finding Golden Features 30 points for best data visualizations 30/10/5 points for best predictions (measured by
From playlist SLICED: SEASON 1
The Spotify Showdown! | SLICED | S01E08 ft. Julia, Landon, Scott, and Tony
SLICED is competitive data science! Contestants get a dataset they've never seen before and have 2 hrs. to make a model or be SLICED. 15 pts from chat vote 15 points for finding Golden Features 40 points for best data visualizations 30 points for best predictions (measured by loss or
From playlist SLICED: SEASON 1
Julia Language Database JuliaDB
JuliaDB is Julia's own database structure. You can read more about it at http://juliadb.org The next few videos aim to make you familiar with this new package. So, if you want to use something more than just DataFrames, watch this space. In this first video, we take a look at the table
From playlist Julia on Coursera