Top news of the week: 07.08.2020.

Learning, Machine learning, Aleksandr Lyapunov, Electrical engineering, Data, Strategic management

Applied Use Cases

On Aug 5, 2020
@math_rachel shared
@jongold It's from a job ad Andrew Ng posted a few years ago for his company https://t.co/42nSYnL7W3, saying that employees there work & study 70-90 hours per week
Open

Break Into AI

Break Into AI

Whether you want to build algorithms or build a company, deeplearning.ai’s courses will teach you key concepts and applications of AI.

On Aug 6, 2020
@davegershgorn shared
RT @Abebab: "In the spirit of communal values that unifies such a diverse continent, ‘harnessing’ technology to drive development means prioritizing welfare & benefit of local communities, not distant Western start-ups or tech monopolies." https://t.co/bXlNm5LWn0 New paper now live 🥳🥳🥳 https://t.co/gJhpNfTkYh
Open

Algorithmic Colonization of Africa

Algorithmic Colonization of Africa

By Abeba Birhane. We live in a world where technological corporations hold unprecedented power and influence. Technological solutions to social, political, and economic challenges are ...

On Aug 1, 2020
@guardiantech shared
The best smart speakers for all budgets https://t.co/QCUeyyRBPM
Open

The best smart speakers for all budgets

The best smart speakers for all budgets

Whether you want good sound, the cheapest or an alarm clock replacement, here are the options

On Aug 5, 2020
@Theteamatx shared
Xers were delighted to work with @kaggle & @arXiv to make arXiv's dataset of more than 1.7 million papers machine-readable & freely accessible for researchers, scientists, & engineers — encouraging new discoveries & novel scientific insights. https://t.co/vXY1ncRS6o
Open

Leveraging ML to Fuel New Discoveries with the arXiv Dataset

Leveraging ML to Fuel New Discoveries with the arXiv Dataset

The entire dataset of 1.7M+ arXiv papers is now available for free on Kaggle

On Aug 5, 2020
@olivercameron shared
RT @alexandr_wang: 🚨 New @scale_AI product 🚨 Aggregate metrics in ML are not good enough. Better ML starts with understanding your qualitatively data in-depth. Scale Nucleus is the way to do it. https://t.co/ONq9M1Dnu4 https://t.co/gvFbq6Bu51
Open

Scale AI’s mission is to accelerate the development of AI applications.

Scale AI’s mission is to accelerate the development of AI applications.

Understand the health of your datasets, enhance data curation and debug model performance - all in one place - with Scale Nucleus.

On Aug 1, 2020
@AdnanBoz shared
Good News! The 2nd volume of "The Intelligent Product" is now released: https://t.co/V1G19FS7Gv. This month we are covering AI stories from Microsoft, Xerox, SAS, T-Mobile, The Coca-Cola Company, and more. #productmanager #productmanagement #aiproductman…https://t.co/VAc6lSTFdb
Open

Dear fellow Product Managers,

Dear fellow Product Managers,

Dear fellow Product Managers, In the past, my students used to come to me with their cutting edge “the AI idea”'s and my response usually was that there is no “the AI idea” but there could ...

On Aug 5, 2020
@johnchavens shared
RT @RadicalAIPod: We love Wednesdays because that means it's time to share a new episode! This week's ep: "Ethically Aligned Design & Applied AI Ethics with @johnchavens iTunes: https://t.co/MHbDPuwt4O Spotify: https://t.co/aSSujLWmGr Google: https://t.co/tKIZZ8Y9XA
Open

Ethically Aligned Design & Applied AI Ethics with John C. Havens The Radical AI Podcast

Ethically Aligned Design & Applied AI Ethics with John C. Havens The Radical AI Podcast

‎Show The Radical AI Podcast, Ep Ethically Aligned Design & Applied AI Ethics with John C. Havens - Aug 4, 2020

On Aug 4, 2020
@vnfrombucharest shared
RT @BachFrancis: Going back to basics for the mid-summer blog post: a bit of discrete integration by parts and (again) some stochastic gradient descent! https://t.co/vr7TQxBOVk https://t.co/kboykmipLX
Open

The many faces of integration by parts – I : Abel transformation

The many faces of integration by parts – I : Abel transformation

In this post, I will look at a classical discrete extension that is useful in machine learning and optimization, namely Abel transformation, with applications to convergence …