Intro to Data Science: Historical Context
This lecture provides some historical context for data science and data-intensive scientific inquiry. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at sales@edureka.co or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge
From playlist Data Science Training Videos
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
Is Data Science Right For You?
In this video I help you to answer if data science is a good fit for you. I provide 5 questions that you should ask yourself that will assess your fit for the field. #DataScience #DataScienceJobs #DataScienceCareers Questions to Ask Yourself: - Am I prepared to seriously commit to learn
From playlist Data Science Jobs
The Power of Binary Search : Data Science Code
Get crazy speedups using binary search!
From playlist Data Science Code
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
I Wish I Had Known THIS Before Starting in Data Science
I talk about the things that I wish I had known before I started down the data science career path. 1) Data wrangling is a bigger part of the job than many expect. Learn SQL and be efficient with manipulating data in Python or R. 2) You don't always get to work on projects that are exci
From playlist Data Science
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
How to Create an Effective Data Science Department - Kim Stedman
Data scientists needs to level up--both our function and our branding. Data science is in danger of being a fad. Data scientists need to build a reputation for providing actual value. We are making it hard for people to find and hire us. We must do with our field what we do with our data:
From playlist Ignite Foo Camp 2013
Lecture: Higher-order Integration Schemes
Higher-order numerical integration schemes are considered along the classic schemes of trapezoidal rule and Simpson’s rule.
From playlist Beginning Scientific Computing
Entanglement in QFT and Quantum Gravity (Lecture 1) by Tom Hartman
PROGRAM KAVLI ASIAN WINTER SCHOOL (KAWS) ON STRINGS, PARTICLES AND COSMOLOGY (ONLINE) ORGANIZERS Francesco Benini (SISSA, Italy), Bartek Czech (Tsinghua University, China), Dongmin Gang (Seoul National University, South Korea), Sungjay Lee (Korea Institute for Advanced Study, South Korea
From playlist Kavli Asian Winter School (KAWS) on Strings, Particles and Cosmology (ONLINE) - 2022
ME564 Lecture 16: Numerical integration and numerical solutions to ODEs
ME564 Lecture 16 Engineering Mathematics at the University of Washington Numerical integration and numerical solutions to ODEs Notes: http://faculty.washington.edu/sbrunton/me564/pdf/L16.pdf Misc. Notes: http://faculty.washington.edu/sbrunton/me564/pdf/L16_misc.pdf Matlab code: * ht
From playlist Engineering Mathematics (UW ME564 and ME565)
Lagrangian Coherent Structures (LCS) in unsteady fluids with Finite Time Lyapunov Exponents (FTLE)
Fluid dynamics are often characterized by coherent structures that persist in time and mediate the behavior and transport of the fluid. Lagrangian coherent structures (LCS) are a particularly important class of coherent structures, as they are the time-varying analogues of stable and unst
From playlist Data Driven Fluid Dynamics
All about GRAND Stack: GraphQL, React, Apollo, and Neo4j
In this presentation, we explore application development using the GRAND stack (GraphQL, React, Apollo, Neo4j) for building web applications backed by a graph database. This talk will review the components to build a simple web application, including how to build a React component, an int
From playlist Talks
Inverse problems in seismic/radar imaging
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
Developments in superstring perturbation theory
Distinguished Visitor Lecture Series Developments in superstring perturbation theory Ashoke Sen Harish-Chandra Research Institute, Allahabad, India
From playlist Distinguished Visitors Lecture Series
Jeffrey Winicour - Multi-Messenger Aspects of Characteristic Evolution - IPAM at UCLA
Recorded 7 October 2021. Jeffrey Winicour of the University of Pittsburgh presents "Multi-Messenger Aspects of Characteristic Evolution at IPAM's Workshop I: Computational Challenges in Multi-Messenger Astrophysics. Abstract: I review the characteristic evolution of coupled gravitational
From playlist Workshop: Computational Challenges in Multi-Messenger Astrophysics
Chao Li - 2/2 Geometric and Arithmetic Theta Correspondences
Geometric/arithmetic theta correspondences provide correspondences between automorphic forms and cohomology classes/algebraic cycles on Shimura varieties. I will give an introduction focusing on the example of unitary groups and highlight recent advances in the arithmetic theory (also know
From playlist 2022 Summer School on the Langlands program
David Ambrose: "Existence theory for nonseparable mean field games in Sobolev spaces"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop III: Mean Field Games and Applications "Existence theory for nonseparable mean field games in Sobolev spaces" David Ambrose - Drexel University Abstract: We will describe some existence results for the mean field games PDE system with n
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Data Quality | Introduction to Data Mining part 7
In this Data Mining Fundamentals, we introduce the most overlooked step in data mining, Data Quality. Understanding your data quality problems is very important to creating robust models that will actually work in production. -- Learn more about Data Science Dojo here: https://datascienced
From playlist Introduction to Data Mining