Scheduling: The List Processing Algorithm Part 1
This lesson explains and provides an example of the list processing algorithm to make a schedule given a priority list. Site: http://mathispower4u.com
From playlist Scheduling
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
Into to the Mathematics of Scheduling
Terminology explained includes preference schedule, digraphs, tasks, arcs, processors, and timelines.
From playlist Discrete Math
Computer Science Basics: Algorithms
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science. To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr. We hop
From playlist Computer Science Basics
Machine learning describes computer systems that are able to automatically perform tasks based on data. A machine learning system takes data as input and produces an approach or solution to a task as output, without the need for human intervention. Machine learning is closely tied to th
From playlist Data Science Dictionary
Reading isn't leisure... It's important work
How many times have you said this: “I’d love to read more - I just don’t have the time!" I get it, you’re busy. But here’s the thing: Reading and learning aren’t leisure. They’re a part of your job. No matter what you do. And in this increasingly knowledge-driven economy? They’re amo
From playlist Tips & Strategies For Becoming SuperHuman
Scheduling: The Decreasing Time Algorithm
This lesson explains how to use the decreasing time algorithm to create a priority list and then a schedule. Site: http://mathispower4u.com
From playlist Scheduling
An exploration of the Hierarchy of Operations for the SoME1 competition by 3Blue1Brown.
From playlist Summer of Math Exposition Youtube Videos
Algorithms Explained: What is an Algorithm?
This video defines what an algorithm is, distinguishes algorithms from recipes and functions and gives some examples of algorithms. This is the first video in an "Algorithms Explained" series that discusses algorithms at a conceptual level. Videos in this series that discuss specific algo
From playlist Algorithms Explained
Glycolysis and Early Stages of Respiration
MIT 5.07SC Biological Chemistry, Fall 2013 View the complete course: http://ocw.mit.edu/5-07SCF13 Instructor: John Essigmann Professor Essigmann looks in detail at carbohydrate catabolism leading up to the pathway of glycolysis. He provides a high-level view of cell respiration, including
From playlist MIT 5.07SC Biological Chemistry I, Fall 2013
Danielle Bassett - Probing the costly dynamics of cognitive effort - IPAM at UCLA
Recorded 01 September 2022. Danielle Bassett of the University of Pennsylvania presents "Probing the costly dynamics of cognitive effort" at IPAM's Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond. Abstract: Cognitive effort has long been an important expl
From playlist 2022 Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond
Understanding Transport-Health-Environment interactions using new micro-mobility data
The afternoon will be orientated towards academics/researchers who are working with a variety of new forms of data (location, image, social media, transactions etc) in a transport/mobility context. The workshop will be stocktaking on recent research, identifying research needs and also loo
From playlist Workshop on New Forms of Data for Mobility
Data Science @Stanford Russ Altman 11/18/2015
Russ Altman discusses extracting genomics knowledge from text and using it for novel inference at the November 18, 2015 Data Science @Stanford seminar.
From playlist Data Science @ Stanford
(May 12, 2010) Robert Sapolsky continues his lectures about aggression in humans but also continues to talk about other emotions and what goes on in the brain to cause these various emotions. Stanford University: http://www.stanford.edu/ Stanford Department of Biology: http://biology.sta
From playlist Lecture Collection | Human Behavioral Biology
Yonatan Harpaz - New perspectives in hermitian K-theory II
Warning: around 32:30 in the video, in the slide entitled "Karoubi's conjecture", a small mistake was made - in the third bulleted item the genuine quadratic structure appearing should be the genuine symmetric one (so both the green and red instances of the superscript gq should be gs), an
From playlist New perspectives on K- and L-theory
Markus Land - L-Theory of rings via higher categories II
For questions and discussions of the lecture please go to our discussion forum: https://www.uni-muenster.de/TopologyQA/index.php?qa=k%26l-conference This lecture is part of the event "New perspectives on K- and L-theory", 21-25 September 2020, hosted by Mathematics Münster: https://go.wwu
From playlist New perspectives on K- and L-theory
NAD+ in Aging: Role of Nicotinamide Riboside and Nicotinamide Mononucleotide
In this episode, Rhonda explains what NAD+ is and why it declines with age. She discusses some of the popular NAD+ boosters like nicotinamide riboside and nicotinamide mononucleotide, what animal and human data says and some concluding thoughts. NAD+ is crucial for our survival. Small am
From playlist Just Me
Lec 5 | MIT 7.012 Introduction to Biology, Fall 2004
Biochemistry 4 (Prof. Robert A. Weinberg) View the complete course: http://ocw.mit.edu/7-012F04 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 7.012 Introduction to Biology, Fall 2004
Measuring Time - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
CS224W: Machine Learning with Graphs | 2021 | Lecture 18 - GNNs in Computational Biology
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XVImFC Lecture 18 - Graph Neural Networks in Computational Biology Jure Leskovec Computer Science, PhD We are glad to invite Prof. Marinka Zitnik from Harvard Un
From playlist Stanford CS224W: Machine Learning with Graphs