Open Source vs. Closed Source Software
In this video, you’ll learn more about the differences between open-source software and closed-source software. Visit https://edu.gcfglobal.org/en/basic-computer-skills/ for more technology, software, and computer tips. We hope you enjoy!
From playlist Technology Trends
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From playlist Science Unplugged: Mathematics
Intro to Data Science: The Nature of Data
This lecture discusses the types of data you might encounter, and how it determines which techniques to use. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Big Data
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist The Internet
Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i
From playlist Data Science Dictionary
SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
(IC 1.6) A different notion of "information"
An informal discussion of the distinctions between our everyday usage of the word "information" and the information-theoretic notion of "information". A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F Attribution for image of TV static:
From playlist Information theory and Coding
The Secret Data Scientists Don't Want You to Know
In this video I tell you the main secret that data scientists are keeping from you. I hope that revealing this will make data science seem less intimidating and will help you on your learning journey. Remember to subscribe! https://www.youtube.com/c/kenjee1?sub_confirmation=1 Fro my exp
From playlist Data Science Beginners
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Sergio Verdu - Information Theory Today
Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with technological advances that pave the way for attaining the fundamental limits of communication channels and information sources. Increasingly playing a role as a design driver, information theory is b
From playlist NOKIA-IHES Workshop
Gunther Uhlmann - Seeing Through Space-Time - IPAM at UCLA
Recorded 15 September 2021. Gunther Uhlmann of the University of Washington presents "Seeing Through Space-Time" at IPAM's Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy Tutorial Abstract: The first inverse problem we will consider is whether we can de
From playlist Tutorials: Math & Computational Challenges in the Era of Gravitational Wave Astronomy
Introduction To Data Science With Python Certification | Simplilearn
The Data Science with Python course explores different Python libraries and tools that help you tackle each stage of Data Analytics. Python is a general purpose multi-paradigm programming language for data science that has gained wide popularity-because of its syntax simplicity and operabi
Advanced Instructional School on Theoretical and Numerical Aspects of Inverse Problems URL: https://www.icts.res.in/program/IP2014 Dates: Monday 16 Jun, 2014 - Saturday 28 Jun, 2014 Description In Inverse Problems the goal is to determine the properties of the interior of an object from
From playlist Advanced Instructional School on Theoretical and Numerical Aspects of Inverse Problems
Gildas Illien : Le Linked Open Data : une réponse aux nouvelles problématiques de catalogue ?
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Documentation mathématique
IMS Public Lecture: Trends in Wireless Communications
Sergio Verdú, Princeton University
From playlist Public Lectures
IDM 2021 Online Celebration - English Session
Live Streamed talks during the 2021 International Day of Mathematics Global Online celebration. 0:00 - Intro with Günter M. Ziegler, Freie Universität Berlin, Germany 2:48 - Welcoming message by UNESCO Director General Audrey Azoulay 6:36 - The IDM 2021 Theme / Christiane Rousseau, Canada
From playlist Collaborations
Anna Gilbert - Imaging from the Inside Out - Inverse Scattering in Fluorescence Microscopy
Recorded 24 October 2022. Anna Gilbert of Yale University presents "Imaging from the Inside Out - Inverse Scattering in Fluorescence Microscopy" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract: We propose a method to reconstruct the optical properties of
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
Towards superresolution surface metrology: Quantum (...) - G. Adesso - Workshop 1 - CEB T2 2018
Gerardo Adesso (Univ. Nottingham) / 15.05.2018 Towards superresolution surface metrology: Quantum estimation of angular and axial separations We investigate localization of two incoherent point sources with arbitrary angular and axial separations in the paraxial approximation. By using q
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Intro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e. building models with data). These will be some of the topics discussed in this lecture series.
From playlist Intro to Data Science