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No strong matches for “misconceptions”. Here are the closest videos.
Democrats Need to Face Why Trump Won | The Ezra Klein Show1:23:30

Democrats Need to Face Why Trump Won | The Ezra Klein Show

733K views • 1 year ago
The Ezra Klein Show
Ezra Klein interviews Democratic pollster David Shor, who walks through survey data and charts explaining the 2024 election results. They discuss voter shifts, the education divide and what Democrats got wrong.
Topic match · Data science & statistics
36C3 -  BahnMining - Pünktlichkeit ist eine Zier - english translation1:01:50

36C3 - BahnMining - Pünktlichkeit ist eine Zier - english translation

12K views • 6 years ago
media.ccc.de
David Kriesel's 36C3 talk, in an English translation, analyzes a year of scraped Deutsche Bahn data covering every stop of every long-distance train in Germany. It explores delays and how punctuality is actually measured.
Topic match · Data science & statistics
DuckDB – The SQLite for Analytics (Mark Raasveldt, CWI)1:08:01

DuckDB – The SQLite for Analytics (Mark Raasveldt, CWI)

28K views • 6 years ago
CMU Database Group
Mark Raasveldt of CWI presents DuckDB, an embeddable analytical database described as the SQLite for analytics, in a CMU Database Group talk. He explains why it was built, what it is for, and how it works.
Topic match · Data science & statistics
Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming | Lex Fridman Podcast #2243:05:25

Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming | Lex Fridman Podcast #224

812K views • 5 years ago
Lex Fridman
Lex Fridman interviews Travis Oliphant, creator of NumPy, SciPy and Anaconda, about scientific Python and its history. It runs about three hours.
Topic match · Data science & statistics
Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)1:29:43

Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)

48K views • 11 years ago
MLSS Iceland 2014
Michael Betancourt's lecture at MLSS Iceland 2014 on efficient Bayesian inference with Hamiltonian Monte Carlo. It covers MCMC concepts and motivation and the problems of sampling in high-dimensional distributions.
Topic match · Data science & statistics
Peter Norvig - The Unreasonable Effectiveness of Data1:02:57

Peter Norvig - The Unreasonable Effectiveness of Data

74K views • 15 years ago
UBC Computer Science
Peter Norvig's UBC distinguished lecture on how massive amounts of simple data, such as for language modeling, can yield understanding that hand-built models could not.
Topic match · Data science & statistics
Making R run Fast - Jan Vitek1:21:39

Making R run Fast - Jan Vitek

860 views • 10 years ago
John O'Neill
Jan Vitek of Northeastern University gives a meetup talk on the challenges of making the R language run fast. He explains what in R's semantics makes it hard to optimize and to build a JIT compiler for.
Topic match · Data science & statistics
Introduction to Julia - Part 1 | SciPy 2014 | David Sanders1:01:04

Introduction to Julia - Part 1 | SciPy 2014 | David Sanders

80K views • 12 years ago
Enthought
David Sanders gives the first part of a two-part introduction to the Julia programming language at SciPy 2014. It walks through the language's basics and its appeal for scientific computing.
Topic match · Data science & statistics
BahnMining - Pünktlichkeit ist eine Zier (David Kriesel)1:01:50

BahnMining - Pünktlichkeit ist eine Zier (David Kriesel)

3.3M views • 6 years ago
media.ccc.de
David Kriesel's 36C3 talk, in German, analyzes a year of scraped data on every stop of every long-distance train in Germany. It shows how Deutsche Bahn delay statistics hide cancellations and delays.
Topic match · Data science & statistics
Clutching at Random Straws, Matt Parker | LMS Popular Lectures 20101:03:07

Clutching at Random Straws, Matt Parker | LMS Popular Lectures 2010

601K views • 12 years ago
London Mathematical Society
Matt Parker's LMS popular lecture on how seemingly incredible results can be meaningless random patterns. He ranges from ancient Woolworths civilisations to shoelaces and DNA.
Topic match · Data science & statistics
"Understanding Burnout," Prof. Christina Maslach (U.C. Berkeley)1:12:30

"Understanding Burnout," Prof. Christina Maslach (U.C. Berkeley)

33K views • 11 years ago
Thriving In Science
A Berkeley lecture by psychologist Christina Maslach, a leading burnout researcher, on what burnout is and what causes it. It covers common misunderstandings and the job and workplace factors involved.