Machine learning

[June 27th 2020] ContinualAI Meetup: "Continual Learning: in the Cloud, at the Edge or Both?" Description: In this meeting we will mostly discuss where the continual learning process should take place (in the cloud or at the edge) and its relationship with distributed and federated learning! As always we started with a series of spotlight 15 minutes presentations from 4 Continual Learning experts and later we had a fun, 30 minutes open debate on the topic. You can find the slides and more references in our forum: https://continualai.discourse.group/t/continualai-meetup-continual-learning-in-the-cloud-at-the-edge-or-both/125 The speakers for this meetup were: • Qi (Roger) She (Intel Labs): "Towards Edge-enhanced Robot 4.0: Continual Learning and Spatial-temporal Intelligence" • Bing Liu (University of Illinois at Chicago): "Learning on the Job: Online Lifelong and Continual Learning" • Fernando E. Casado (Universidade de Santiago de Compostela): "Collaborative and Continual Learning for Classification Tasks in a Society of Devices" • Matthias De Lange (KU Leuven): "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem" -------------------

Free15 lessons10h 30mAdvanced

by othmane marfoq

June 2020

Checked 4 days ago

What you'll learn

  • ContinualAI Meetup] Continual Learning: in the Cloud, at the Edge or Both?
  • Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio
  • Docker For Data Scientists
  • Disentangling Influence: Using Disentangled Representations to Audit Model Predictions
  • Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained
  • How To Run TensorFlow Lite on Raspberry Pi for Object Detection
  • GitHub Support for password authentication was removed (August 13, 2021) - Solution
  • Attention in transformers, step-by-step · Deep Learning Chapter

Taken from the course's own lessons, in the author's words.

Free

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This course includes

  • 10h 30m of video
  • 15 lessons
  • Level: Advanced
  • Spoken in English
  • Your place is remembered
  • Free in full, no card

Lessons

2 sections · 15 lessons · 10h 30m total length

What you need

  • Experience expected: this course is pitched at an advanced level.

Description

[June 27th 2020] ContinualAI Meetup: "Continual Learning: in the Cloud, at the Edge or Both?" Description: In this meeting we will mostly discuss where the continual learning process should take place (in the cloud or at the edge) and its relationship with distributed and federated learning! As always we started with a series of spotlight 15 minutes presentations from 4 Continual Learning experts and later we had a fun, 30 minutes open debate on the topic. You can find the slides and more references in our forum: https://continualai.discourse.group/t/continualai-meetup-continual-learning-in-the-cloud-at-the-edge-or-both/125 The speakers for this meetup were: • Qi (Roger) She (Intel Labs): "Towards Edge-enhanced Robot 4.0: Continual Learning and Spatial-temporal Intelligence" • Bing Liu (University of Illinois at Chicago): "Learning on the Job: Online Lifelong and Continual Learning" • Fernando E. Casado (Universidade de Santiago de Compostela): "Collaborative and Continual Learning for Classification Tasks in a Society of Devices" • Matthias De Lange (KU Leuven): "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem" -------------------

Who this course is for

  • People already working with Machine learning.

Those two are our reading of the course's level. The description is the author's own.

Machine learning, by othmane marfoq