In telecommunication, effective data transfer rate is the average number of units of data, such as bits, characters, blocks, or frames, transferred per unit time from a source and accepted as valid by a sink. Note: The effective data transfer rate is usually expressed in bits, characters, blocks, or frames per second. The effective data transfer rate may be averaged over a period of seconds, minutes, or hours. (Wikipedia).
Time, Speed, Distance Tricks - Variation (GMAT/GRE/CAT/Bank PO/SSC CGL) | Don't Memorise
Using Direct and Indirect Variation is a good way to solve Time, Speed and Distance problems. To Learn More about Time, Speed, and Distance, enroll in our full course now: https://bit.ly/TimeSpeedDistanceWork_DM In this video, we will learn: 0:00 Time Speed Distance formula 0:34 rela
From playlist Time, Speed, Distance, Work (GMAT/GRE/CAT/Bank PO/SSC CGL)
The Best Computer for Data Science Beginners
In this video, I give you my thoughts on the best computer for data science beginners. I talk about the hardware components of a computer and how those relate to your data science performance. At the end, I give my thoughts on the best computer for you to purchase. The cpu is in charge o
From playlist Data Science Beginners
Leveraging Data Assets in your Company and Monetizing them Ethically
This session provides an overview of how companies can use ethical data monetization practices and learnings around data valuation to reel in their revenue. Participants will learn how to: - Unhook the value of their data and how to maximize it - Locate the best data monetization strategi
From playlist Ace Your Data Science Interview
Learn Data Science Tutorial - Full Course for Beginners
Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful me
From playlist Data Science
Data Modeling Tutorial | Data Modeling for Data Warehousing | Data Warehousing Tutorial | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, th
From playlist Data Warehousing Tutorial Videos
Advancing Data Justice: Access pillar
Research from The Alan Turing Institute brings together perspectives from across the globe to discuss how data-driven technologies can be deployed in a way which is compatible with values of social justice. Read more about the Advancing Data Justice: Research and Practice project here: h
From playlist Advancing Data Justice
Credits go out to the makers of Fast-Track See the webpage at: http://www.thepentest.com/
From playlist Fast-Track
Introduction to R: Data Frames
Data Frames in R are data structures that store tabular data with rows and columns similar to an excel spreadsheet. Data Frames are among the most common data structures for working with data in R and many data reading functions load data into R in the form of data frames. They are analogo
From playlist Introduction to R
Sonja Lehtinen: Evolutionary ecology of antibiotic resistance
Antibiotic resistance is a serious public health concern. Responding to this problem effectively requires characterising the factors (i.e. evolutionary and ecological processes) that determine resistance frequencies. At present, we do not have ecologically plausible models of resistance th
From playlist Dynamical Systems and Ordinary Differential Equations
Some Recent Insights on Transfer Learning - Samory Kpotufe
Seminar on Theoretical Machine Learning Topic: Some Recent Insights on Transfer Learning Speaker: Samory Kpotufe Affiliation: Columbia University; Member, School of Mathematics Date: March 31, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
MIT 5.08J Biological Chemistry II, Spring 2016 Instructor: Elizabeth Nolan View the complete course: https://ocw.mit.edu/5-08JS16 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63vvR4xtexZdoPywRYIZI0- After closing the discussion of experiments on the mechanism of amin
From playlist MIT 5.08J Biological Chemistry II, Spring 2016
git for Data Science Made Simple... (Hopefully)
In this video I give a high level overview of git and github for data science. I talk about what git is, why it's important, and I also go through the general workflow of a data science project using git. At the most basic level, git is a version control system. It also allows us to work
From playlist Data Science Projects
Samory Kpotufe: "Some New Insights On Transfer Learning"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature "Some New Insights On Transfer Learning" Samory Kpotufe - Columbia University, Statistics Abstract: Th
From playlist Machine Learning for Physics and the Physics of Learning 2019
Introduction to Population Genetics III: Revisiting Assumptions by Deepa Agashe (NCBS, India)
PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn
From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022
Scaling Laws for Language Transfer Learning | Christina Kim | OpenAI Scholars Demo Day 2021
Learn more: https://openai.com/blog/openai-scholars-2021-final-projects#christina
From playlist Events and Talks
Lior Rokach - Recommender Systems: Twenty years of research
https://indico.math.cnrs.fr/event/3475/attachments/2180/2560/Rokach-GomaxSlides.pptx
From playlist Google matrix: fundamentals, applications and beyond
Statistical Rethinking 2023 - 15 - Social Networks
Course: https://github.com/rmcelreath/stat_rethinking_2023 Music: https://www.youtube.com/watch?v=0iVdR2rtD90 Pause: https://www.youtube.com/watch?v=a6QqkEsGxNY Outline 00:00 Introduction 02:25 Sample and causal model 12:18 Generative model 1 17:39 Statistical model 1 27:42 Pause 28:18 G
From playlist Statistical Rethinking 2023
Creative Tension Between the Early and Late Universe - W. Hu - 5/16/2014
Workshop on Primordial Gravitational Waves and Cosmology (May 16 - 17, 2014) Learn more about this workshop: http://burkeinstitute.caltech.edu/workshops Produced in association with Caltech Academic Media Technologies. © 2014 California Institute of Technology
From playlist Walter Burke Institute for Theoretical Physics - Workshop on Primordial Gravitational Waves and Cosmology (May 16 - 17, 2014)
Statistics Lecture 6.3: The Standard Normal Distribution. Using z-score, Standard Score
https://www.patreon.com/ProfessorLeonard Statistics Lecture 6.3: Applications of the Standard Normal Distribution. Using z-score, Standard Score
From playlist Statistics (Full Length Videos)
Lab evolution with e coli and yeast. Mutators and their fate (Lecture - 03) by Paul Sniegowski
Winter School on Quantitative Systems Biology DATE:04 December 2017 to 22 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter S
From playlist Winter School on Quantitative Systems Biology