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4,200 results

Inria Learning Lab
Visualizing scikit learn pipelines in Jupyter

This video is part of the Mooc “Machine learning in Python with scikit-learn ” hosted on FUN platform: ...

5:40
Visualizing scikit learn pipelines in Jupyter

3,197 views

4y ago

Laurent Toutain
☯ PyCORECONF — Lightweight IoT device management, made developer-friendly 🐍

Managing IoT devices at scale is hard — especially when your devices are constrained by limited bandwidth, low power, and ...

6:45
☯ PyCORECONF — Lightweight IoT device management, made developer-friendly 🐍

115 views

4mo ago

R Consortium
Open the Machine Learning Black-Box with modelStudio & Arena

This video is part of the virtual useR! 2021 conference. Find supplementary material on our website https://user2021.r-project.org/.

5:17
Open the Machine Learning Black-Box with modelStudio & Arena

304 views

5y ago

PyCon Thailand
Steven Kolawole (He/Him) - Streamlit: The Fastest Way to build Data Apps

Streamlit is a fantastic new tool that lets you create powerful & highly-interactive web apps for your machine learning projects with ...

18:37
Steven Kolawole (He/Him) - Streamlit: The Fastest Way to build Data Apps

68 views

3y ago

MIT App Inventor
Introduction to AIAtools

In this presentation, MIT App Inventor Lead Software Engineer Evan Patton discusses a new Python library that researchers using ...

1:18:53
Introduction to AIAtools

1,231 views

6y ago

Algorithmic Simplicity
MAMBA from Scratch: Neural Nets Better and Faster than Transformers

Mamba is a new neural network architecture that came out this year, and it performs better than transformers at language ...

31:51
MAMBA from Scratch: Neural Nets Better and Faster than Transformers

319,960 views

2y ago

Jeremy Howard
Lesson 8 - Practical Deep Learning for Coders 2022

00:00 - Neural net from scratch 04:46 - Parameters in PyTorch 07:42 - Embedding from scratch 12:21 - Embedding interpretation ...

1:36:55
Lesson 8 - Practical Deep Learning for Coders 2022

51,507 views

4y ago

R Consortium
useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorial

This video is part of the virtual useR! 2020 conference. Find supplementary material on our website https://user2020.r-project.org/.

2:27:19
useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorial

2,391 views

6y ago

Marijn van Vliet
MNE-Python status update 2020

This is a presentation given at the OHBM Open Science Room. It covers what the MNE-Python package is all about and what has ...

6:17
MNE-Python status update 2020

1,385 views

6y ago

edX
edX Machine Learning and AI MicroBootCamp™ Trailer

AI is constantly changing — are you keeping up? Enhance your existing AI toolkit with the 10-week Machine Learning and AI ...

1:28
edX Machine Learning and AI MicroBootCamp™ Trailer

1,251 views

2y ago

Jeremy Howard
Lesson 7: Practical Deep Learning for Coders 2022

00:00 - Tweaking first and last layers 02:47 - What are the benefits of using larger models 05:58 - Understanding GPU memory ...

1:46:43
Lesson 7: Practical Deep Learning for Coders 2022

56,984 views

4y ago

Michael Min
How To Use Your GPU for Machine Learning on Windows with Jupyter Notebook and Tensorflow

A quick guide on how to enable the use of your GPU for machine learning with Jupyter Notebook, Tensorflow, Keras on the ...

2:38
How To Use Your GPU for Machine Learning on Windows with Jupyter Notebook and Tensorflow

182,991 views

6y ago

NERSC
Using Python and Jupyter on Perlmutter

Part of the Using Perlmutter Training, Jan 5-7, 2022. Slides and more details are available at ...

25:21
Using Python and Jupyter on Perlmutter

232 views

4y ago

BraveHub
CS50’s Artificial Intelligence with Python  -  Full Course

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give ...

11:50:54
CS50’s Artificial Intelligence with Python - Full Course

855 views

2y ago

Society of Research Software Engineering
Jack Atkinson: Reducing the overhead of coupled machine learning models between Python and Fortran

A talk from the AI/ML session at RSECon23 at Swansea University, on 2023-09-05. Programme link: ...

23:36
Jack Atkinson: Reducing the overhead of coupled machine learning models between Python and Fortran

118 views

2y ago

Jeremy Howard
Intro to Machine Learning: Lesson 1

Introduction to Random Forests. Welcome to Introduction to Machine Learning for Coders! Lesson 1 will show you how to create a ...

1:17:41
Intro to Machine Learning: Lesson 1

340,302 views

8y ago

Berkman Klein Center for Internet & Society
"Kaleidoscope: Positionality-aware Machine Learning" - from the 2019 MIT/Harvard Assembly Showcase

The Kaleidoscope: Positionality-Aware Machine Learning project explores the development of positionality-aware ML/AI systems.

11:19
"Kaleidoscope: Positionality-aware Machine Learning" - from the 2019 MIT/Harvard Assembly Showcase

424 views

7y ago

Jeremy Howard
Lesson 3: Practical Deep Learning for Coders 2022

00:00 Introduction and survey 01:36 "Lesson 0" How to fast.ai 02:25 How to do a fastai lesson 04:28 How to not self-study 05:28 ...

1:30:25
Lesson 3: Practical Deep Learning for Coders 2022

163,773 views

4y ago

BioniChaos
Building Neural Networks with TensorFlowJS: A Flask and GPT-4 Tutorial

Hey everyone! In this video, I dive into the intricacies of neural networks using TensorFlowJS. I start by addressing a previously ...

21:33
Building Neural Networks with TensorFlowJS: A Flask and GPT-4 Tutorial

58 views

2y ago

Marco Winzker (Professor)
Machine Learning on FPGAs: Circuit Architecture and FPGA Implementation

Lecture 3 of the project to implement a small neural network on an FPGA. We derive the architecture of the FPGA circuit from the ...

10:59
Machine Learning on FPGAs: Circuit Architecture and FPGA Implementation

57,327 views

6y ago