Bringing CI/CD Practices to Machine Learning with MLOps - Robert Hafner, Comcast

Why it's on BrighterTube

Advanced · Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidence

Shows applying CI/CD practices to machine learning workflows, including pipeline automation. Teaches MLOps infrastructure and testing strategies.

What you'll learn

A 20-minute video from The Linux Foundation: “Bringing CI/CD Practices to Machine Learning with MLOps - Robert Hafner, Comcast”.

Programming & CS

Video by The Linux Foundation, played through YouTube's embedded player.

Part of cdCon @ OSS NA 2024, Open Source Summit North America 2024

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A Leap in Automotive Security through Unikernel-based De-aggregation - Michalis Pappas The Linux FoundationEngineering

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Transformers, the tech behind LLMs | Deep Learning Chapter 5 3Blue1BrownProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS

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Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS

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“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS

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RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

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27:01

A Leap in Automotive Security through Unikernel-based De-aggregation - Michalis Pappas

The Linux Foundation

Advanced

A 27-minute video from The Linux Foundation: “A Leap in Automotive Security through Unikernel-based De-aggregation - Michalis Pappas”.

Replace Your Exploit-Ridden Firmware with Linux - Ronald Minnich, Google

The Linux Foundation

73K views

Ron Minnich explains the problems with proprietary firmware (UEFI, management engine) and how Google replaced it with Linux (NERF).

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

3Blue1Brown

Intro25.1M views

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

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

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Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Intro4.41M views

Building micrograd, a tiny autograd engine, to understand backpropagation completely.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M 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 Holmér

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

2:04:55

CS50x 2024 - Lecture 0 - Scratch

CS50

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

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CS50x 2024 - Lecture 1 - C

CS50

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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

Confreaks

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Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

“Hello, world” from scratch on a 6502 — Part 1

Ben Eater

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

RailsConf 2014 - All the Little Things by Sandi Metz

Confreaks

190K views

Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.