StatQuest: PCA main ideas in only 5 minutes!!!
The main ideas behind PCA are actually super simple and that means it's easy to interpret a PCA plot: Samples that are correlated will cluster together apart ...
StatQuest with Josh Starmer
Natural Language Processing: Crash Course Computer Science #36
Today we're going to talk about how computers understand speech and speak themselves. As computers play an increasing role in our daily lives there has ...
CrashCourse
Computation and the Fundamental Theory of Physics - with Stephen Wolfram
Stephen Wolfram discusses his efforts to use what he's learned from exploring computational systems to build a new fundamental theory of all of physics. Watch ...
The Royal Institution
Corpus linguistics and the challenges of close and distant reading
http://www.birmingham.ac.uk/elal The 11th Sinclair Lecture was delivered by Professor Michaela Mahlberg, Chair in Corpus Linguistics and Director of the ...
University of Birmingham
The Computer and Turing: Crash Course History of Science #36
Computers and computing have changed a lot over the History of Science but ESPECIALLY over the last 100 years. In this episode of Crash Course History of ...
CrashCourse
Howard Chang (Stanford, HHMI) 2: LncRNA Function at the RNA Level: Xist
https://www.ibiology.org/genetics-and-gene-regulation/epigenomics-lncrnas In this talk, Dr. Howard Chang describes epigenomic approaches pioneered by his ...
iBiology
OmicsLogic Transcriptomics 2020 - join this online program to learn about RNA-seq
The OmicsLogic Transcriptomics program will introduce real-world applications of RNA-seq and provide participants with hands-on skills and logical ...
Pine Biotech
Building a Computer Like Your Brain
Our brain has 86 billion neurons connected by 3 million kilometers of nerve fibers and The Human Brain Project is mapping it all. One of the key applications is ...
Bloomberg Quicktake
Marginal Utility
Marginal utility and marginal benefit. How you would spend $5 on chocolate and fruit More free lessons at: http://www.khanacademy.org/video?v=Kf9KhwryQNE.
Khan Academy
AP Chemistry: 6.6-6.9 Enthalpy of Reaction/Formation and Hess's Law
This AP Chemistry class covers Topics 6.6-6.9. 6.6 Introduction to Enthalpy of Reaction; 6.7 Bond Enthalpies; 6.8 Enthalpy of Formation; 6.9 Hess's Law. Skill: 5.
Advanced Placement
Mod-01 Lec-11 Fundamentals of Discretization: Finite Difference and Finite Volume Method
Computational Fluid Dynamics by Dr. Suman Chakraborty, Department of Mechanical & Engineering, IIT Kharagpur For more details on NPTEL visit ...
nptelhrd
Symbolic AI: Crash Course AI #10
Today we're going to talk about Symbolic AI - also known as "good old-fashioned AI". Symbolic AI is really different from the modern neural networks we've ...
CrashCourse
20. Human Genetics, SNPs, and Genome Wide Associate Studies
MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford This ...
MIT OpenCourseWare
Group theory and the 196,883-dimensional monster
An introduction to group theory, and the monster group. Viewer supported: https://3b1b.co/monster-thanks Minor error corrections below↓↓↓ This video is part ...
3Blue1Brown
Effect size calculation and basic meta-analysis, David B. Wilson
David Wilson delivers a crash course in meta-analysis. This workshop presentation was recorded in Washington at the Campbell Colloquium 2011. Find out ...
The Campbell Collaboration
Big Ideas in Cognitive Neuroscience, CNS 2017: Charles R Gallistel (with session intro)
Charles R. Gallistel (Rutgers University) discusses how the brain processes information, comparing memory to code. March 25, 2017, Cognitive Neuroscience ...
Cognitive Neuroscience Society
How much math do you need for Computer Science?
In this mini-series, we're going to talk about some of the fundamental courses that many universities offer in their Computer Science & Engineering curriculum.
Leo Isikdogan
Scikit-Fuzzy: A New SciPy Toolkit for Fuzzy Logic; SciPy 2013 Presentation
Authors: Warner, Joshua, Mayo Clinic Department of Biomedical Engineering; Ottesen, Hal H., Adjunct Professor Track: General Scikit-fuzzy is a robust set of ...
Enthought
Developing Annotated Korean Learner Corpus and Automatic Analysis of Learner Language
In this talk, we present our ongoing research on developing an annotated Korean learner corpus and the automatic analysis of learner errors. Our long-term goal ...
Microsoft Research
16. Complexity: P, NP, NP-completeness, Reductions
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Erik Demaine In this lecture, ...
MIT OpenCourseWare
Lecture 1: Overview | Stanford CS221: AI (Autumn 2019)
Topics: Overview of course, Optimization Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University ...
stanfordonline
Introducing the new Input System - Unite Copenhagen
Update: The Input System is now verified for 2019 LTS and newer releases. Get code samples and updated tutorials: https://on.unity.com/3dPlLy6 Learn about ...
Unity
The Mathematics of Symmetry
Sign up with brilliant and get 20% off your annual subscription: https://brilliant.org/MajorPrep/ STEMerch Store: https://stemerch.com/ Support the Channel: ...
Zach Star
Sentiment Analysis in R | Sentiment Analysis of Twitter Data | Data Science Training | Edureka
Data Science Training - https://www.edureka.co/data-science-r-programming-certification-course ) This Sentiment Analysis Tutorial shall give you a clear ...
edureka!
Hadley Wickham – “You can't do data science in a GUI”
Hadley Wickham is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland.
Association for Computing Machinery (ACM)
5 Essential Skill Sets to have as a Mechanical Engineer | Skill-Lync
From our analysis, we at Skill-Lync, have found at 5 essential skill sets that every Mechanical or Automotive Engineer should have in order to get a job in the top ...
Skill Lync
Donald Knuth: Algorithms, Complexity, and The Art of Computer Programming | Lex Fridman Podcast #62
Lex Fridman
CCC Introduction to Network Metanalysis
This recording of the 16 Jan 2014 webinar provides an overview of network meta-analysis and discusses advantages that it can offer over the traditional ...
PAHO TV
Lecture 1 - Propositional Logic
Discrete Mathematical Structures.
nptelhrd
2. Branching and Iteration
MIT 6.0001 Introduction to Computer Science and Programming in Python, Fall 2016 View the complete course: http://ocw.mit.edu/6-0001F16 Instructor: Dr. Ana ...
MIT OpenCourseWare
R23. Computational Complexity
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons ...
MIT OpenCourseWare
Mod-01 Lec-14 Finite Volume Method: Boundary Condition Implementation
Computational Fluid Dynamics by Dr. Suman Chakraborty, Department of Mechanical & Engineering, IIT Kharagpur For more details on NPTEL visit ...
nptelhrd
Google Coding Interview Question and Answer #1: First Recurring Character
Find the first recurring character in the given string! A variation of this problem: find the first NON-recurring character. This variation problem and many others are ...
CS Dojo
College Algebra - Full Course
Learn Algebra in this full college course. These concepts are often used in programming. This course was created by Dr. Linda Green, a lecturer at the University ...
freeCodeCamp.org
Stephen Cohen: The Path to Palantir [Entire Talk]
Stephen Cohen reflects on his journey from Stanford computer science student to co-founding and building Palantir Technologies. Cohen extolls the joys of ...
Stanford eCorner
DC_THURS on Great Expectations w/ James Campbell
James Campbell & Pete Soderling discussed the Great Expectations project, a favorite tool for data testing among our community. We covered recent and ...
Data Council
15. Phylogeny and Systematics
Principles of Evolution, Ecology and Behavior (EEB 122) The Tree of Life must be discovered through rigorous analysis. Genetic information is crucial because ...
YaleCourses
The Hadamard gate
Describes a simple quantum gate, the Hadamard gate. Part of a series on "Quantum computing for the determined". The full series is at: ...
Michael Nielsen
Time complexity analysis - How to calculate running time?
See complete series on time complexity here http://www.youtube.com/playlist?list=PL2_aWCzGMAwI9HK8YPVBjElbLbI3ufctn In this lesson, we will see how to ...
mycodeschool
Keynote: Judea Pearl - The New Science of Cause and Effect
PyData LA 2018 The talk will explain why data science should embrace an engine for processing cause-effect relationships. I will describe the structure of this ...
PyData
What Makes People Engage With Math | Grant Sanderson | TEDxBerkeley
Grant Sanderson (@3blue1brown) is the founder of the math outreach and education YouTube channel 3blue1brown, which has over two million subscribers ...
TEDx Talks
Analyzing Data Streams in Real Time with Amazon Kinesis: PNNL's Serverless Data Lake Ingestion
AWS Public Sector Summit 2018 - Washington, D.C. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get ...
Amazon Web Services
