Widening access to applied machine learning with tinyml

VJ Reddi, B Plancher, S Kennedy, L Moroney… - arXiv preprint arXiv …, 2021 - arxiv.org
Broadening access to both computational and educational resources is critical to diffusing
machine-learning (ML) innovation. However, today, most ML resources and experts are …

Widening Access to Applied Machine Learning With TinyML

V Reddi, B Plancher, S Kennedy, L Moroney, P Warden… - 2022 - philpapers.org
Broadening access to both computational and educational resources is crit-ical to diffusing
machine learning (ML) innovation. However, today, most ML resources and experts are …

[PDF][PDF] Widening Access to Applied Machine Learning with TinyML

VJ Reddi, B Plancher, S Kennedy, L Moroney… - researchgate.net
Broadening access to both computational and educational resources is critical to diffusing
machine-learning (ML) innovation. However, today, most ML resources and experts are …

Widening Access to Applied Machine Learning with TinyML

V Janapa Reddi, B Plancher, S Kennedy… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Broadening access to both computational and educational resources is critical to diffusing
machine-learning (ML) innovation. However, today, most ML resources and experts are …

[PDF][PDF] Widening Access to Applied Machine Learning with TinyML

VJ Reddi, B Plancher, S Kennedy, L Moroney… - sharadchitlang.ai
Broadening access to both computational and educational resources is critical to diffusing
machine-learning (ML) innovation. However, today, most ML resources and experts are …

[HTML][HTML] Widening Access to Applied Machine Learning With TinyML

VJ Reddi, B Plancher, S Kennedy, L Moroney… - 2022 - hdsr.mitpress.mit.edu
Broadening access to both computational and educational resources is critical to diffusing
machine learning (ML) innovation. However, today, most ML resources and experts are …

[PDF][PDF] Widening Access to Applied Machine Learning with TinyML

VJ Reddi, B Plancher, S Kennedy, L Moroney… - sharadchitlang.ai
Broadening access to both computational and educational resources is critical to diffusing
machine-learning (ML) innovation. However, today, most ML resources and experts are …