How To Carve A Pumpkin: Taking Lid Off
This guide will give you a good idea of how to carve jack-o'-lanterns in a variety of sizes and styles using a range of techniques.
From playlist Classic HowStuffWorks
How To Carve A Pumpkin: Removing Skin
This guide will give you a good idea of how to carve jack-o'-lanterns in a variety of sizes and styles using a range of techniques.
From playlist Classic HowStuffWorks
HowStuffWorks carves a jack-o-lantern
From playlist Classic HowStuffWorks
In this video, I define what it means to rearrange (or reshuffle) a series and show that if a series converges absolutely, then any rearrangement of the series converges to the same limit. Interesting Consequence: https://youtu.be/Mw7ocynGVmw Series Playlist: https://www.youtube.com/play
From playlist Series
How To Carve A Pumpkin: Stencil Transfer
This guide will give you a good idea of how to carve jack-o'-lanterns in a variety of sizes and styles using a range of techniques.
From playlist Classic HowStuffWorks
How To Carve A Pumpkin: Cutting Face
This guide will give you a good idea of how to carve jack-o'-lanterns in a variety of sizes and styles using a range of techniques.
From playlist Classic HowStuffWorks
Exact test, Empirical distribution, Bootstrapping
0:00 Introduction 1:59 Exact Methods 5:45 EXAMPLE: Exact Binomial distribution 11:42 Empirical distribution 14:01 Bootstrapping
From playlist Statistical Inference (7 videos)
How To Carve A Pumpkin: Connecting Dots
This guide will give you a good idea of how to carve jack-o'-lanterns in a variety of sizes and styles using a range of techniques.
From playlist Classic HowStuffWorks
How do we make and compare phylogenetic trees
This video talks about the procedures we use to reconstruct (estimate) phylogenetic trees from data that we have available. The criteria of parsimony, maximum likelihood, and Bayesian probabilities are contrasted. Lastly, the using of bootstrapping to indicate degrees of confidence in tree
From playlist TAMU: Bio 312 - Evolution | CosmoLearning Biology
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From playlist Classic HowStuffWorks
Assumption-free prediction intervals for black-box regression algorithms - Aaditya Ramdas
Seminar on Theoretical Machine Learning Topic: Assumption-free prediction intervals for black-box regression algorithms Speaker: Aaditya Ramdas Affiliation: Carnegie Mellon University Date: April 21, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
LSS Hands-on (Lecture 3) by Shadab Alam
Program Cosmology - The Next Decade ORGANIZERS : Rishi Khatri, Subha Majumdar and Aseem Paranjape DATE : 03 January 2019 to 25 January 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore The great observational progress in cosmology has revealed some very intriguing puzzles, the most i
From playlist Cosmology - The Next Decade
Detection of B-mode Polarization at Degree Scales Using BICEP2 - J. Bock - March 20, 2014
Jamie Bock, Professor of Physics at Caltech and Senior Research Scientist at the Jet Propulsion Laboratory, presents results from the BICEP2 team on the first direct evidence of inflation and primordial gravitational waves. The team measured a B-mode polarization signal in the cosmic micr
From playlist Research & Science
From playlist ISLR Interviews
Approximate cross validation for large data and high dimensions - Tamara Broderick, MIT
The error or variability of statistical and machine learning algorithms is often assessed by repeatedly re-fitting a model with different weighted versions of the observed data. The ubiquitous tools of cross-validation (CV) and the bootstrap are examples of this technique. These methods a
From playlist Statistics and computation
Machine Learning for HEP by Tommaso Dorigo
Discussion Meeting : Hunting SUSY @ HL-LHC (ONLINE) ORGANIZERS : Satyaki Bhattacharya (SINP, India), Rohini Godbole (IISc, India), Kajari Majumdar (TIFR, India), Prolay Mal (NISER-Bhubaneswar, India), Seema Sharma (IISER-Pune, India), Ritesh K. Singh (IISER-Kolkata, India) and Sanjay Kuma
From playlist HUNTING SUSY @ HL-LHC (ONLINE) 2021
Random matrices and high-dimensional stats: Beyond covariance matrices – N. El Karoui – ICM2018
Probability and Statistics Invited Lecture 12.11 Random matrices and high-dimensional statistics: Beyond covariance matrices Noureddine El Karoui Abstract: The last twenty-or-so years have seen spectacular progress in our understanding of the fine spectral properties of large-dimensional
From playlist Probability and Statistics
Ask Adam Savage: Would You Have Changed Anything About MythBusters?
Tested member Hugo Dahl wants to know, "Had you known the success that the show would have, would you have done something different from the start?" Here's Adam's answer. Thank you, Hugo, for your question and support (and sorry, everyone, for the ambient noise)! Join this channel to suppo
From playlist MythBusters-Related Videos
Watch a car park itself! Credits: , HowStuffWorks
From playlist Classic HowStuffWorks