France Córdova, NSF - Stanford Big Data 2015

Why it's on BrighterTube

Hand-picked by a BrighterTube curator · found via Reddit r/AskScienceDiscussion thread: Does anyone have any good recommendations for YouTube channels that are less oriented towards the general public and more for people with a scientific background? · 82% confidence

NSF official Frances Córdova discusses big data science and research infrastructure. Teaches data science policy and computational research approaches.

What you'll learn

A 28-minute video from Susskind Lecturess: “France Córdova, NSF - Stanford Big Data 2015”.

Science & Math Programming & CS

Video by Stanford, played through YouTube's embedded player.

Part of Big Data in Biomedicine Conference 2015

Lecture 1 | Machine Learning (Stanford)StanfordScience & Math2.67M views

But what is a neural network? | Deep learning chapter 1 3Blue1BrownScience & Math25.1M views

Transformers, the tech behind LLMs | Deep Learning Chapter 5 3Blue1BrownProgramming & CS11.6M views

24:26

The Beauty of Bézier Curves Freya HolmérProgramming & CS2.23M views

1:13:50

The Continuity of Splines Freya HolmérProgramming & CS1.89M views

The Most Underrated Algorithm VeritasiumProgramming & CS10.7M views

Coding Adventure: Simulating Fluids Sebastian LagueProgramming & CS2.66M views

8:38

Diffie-Hellman Key Exchange Art of the ProblemProgramming & CS938K views

A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt EnthoughtProgramming & CS177K views

16:31

Public Key Cryptography: RSA Encryption Art of the ProblemProgramming & CS996K views

JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile ComputerphileProgramming & CS697K views

Category Theory 1.1: Motivation and Philosophy Bartosz MilewskiProgramming & CS394K views

Lecture 1 | Machine Learning (Stanford)

Stanford2.67M views

Andrew Ng's first lecture of Stanford CS229: what machine learning is and the shape of the course (supervised, unsupervised and reinforcement learning).

But what is a neural network? | Deep learning chapter 1

3Blue1Brown25.1M views

Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

24:26

The Beauty of Bézier Curves

Freya Holmér2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

1:13:50

The Continuity of Splines

Freya Holmér1.89M views

A follow-up on splines: the different kinds of continuity (C and G), and how Hermite, Catmull-Rom, B-splines and NURBS trade them off.

The Most Underrated Algorithm

Veritasium10.7M views

The history and inner workings of the Fast Fourier Transform, from nuclear test detection to everyday signal processing.

Coding Adventure: Simulating Fluids

Sebastian Lague2.66M views

Building a fluid simulation step by step with smoothed-particle hydrodynamics.

8:38

Diffie-Hellman Key Exchange

Art of the Problem938K views

Art of the Problem explains Diffie–Hellman key exchange with the paint-mixing analogy and then the modular-arithmetic version.

A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt

Enthought177K views

Nathaniel Smith and Stéfan van der Walt explain colour perception and perceptual uniformity, and how they designed viridis, Matplotlib's new default colormap.

16:31