Top /r/MachineLearning posts, August 2018: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents for sharing enormous datasets
A range of interesting posts from the /r/MachineLearning Reddit group for the month of August, including: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents; Getting Alexa to respond to sign language using TensorFlow; PyCharm IDE.
The top 5 /r/MachineLearning posts for the month of August are:
“Terrifying. You could totally use this in a horror movie. Also incredible work 😊”
The above link will take you directly to the reddit discussion which contains a set of illustrated Machine Learning cheat sheets, covering the content of Stanford’s CS 229 class, including:
“This should definitely be linked in the sidebar! A lot of people would find this information extremely useful.”
“We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds.”
It’s safe to say the reddit community isn’t fully convinced...
“Money should be spent instead on researching how not having to use so much data to train ML model.”
“Think twice before you use this. Torrents are good for distributing but not archiving.”
“A few months ago, while lying in bed one night, a thought flashed through my head — “If voice is the future of computing interfaces, what about those who cannot hear or speak?”. I don’t know what exactly triggered this thought, I myself can speak and hear and have no one close to me who is either deaf or mute, nor do I own a voice assistant. Perhaps it was the countless articles popping up on the proliferance of voice assistants, or the competition between large companies to become your voice activated home assistant of choice, or simply seeing these devices more frequently on the counter tops of friends’ homes. As the question refused to fade from memory, I knew it was an itch I needed to scratch.”
“Really great application, idea can be extended beyond Alexa and would help so many people in real time! Great to see an application that visibly makes a difference.”
If a promoted ad gets anything above a 50% upvote, you know it’s doing well. That’s exactly what PyCharm achieved in the month of August, for its ‘Python IDE for Professional Developers’. It contains a range of tools to assist developers, including a neat ‘Smart Assistance’ feature, displayed in the above screenshot.
“I don’t care if this is an ad. I actually love PyCharm.”
“Why do I see this ad when I've been using PyCharm for months?”
“I'm sorry I like my RAM too much.”
- Top /r/MachineLearning Posts, August: Andrew Ng is back at it; Reinforcement Learning makes a splash; Fixing your ANN
- Top /r/MachineLearning Posts, July: Friendly Suggestions re: Coding Practices; Racist AI How-To Without Really Trying
- Top /r/MachineLearning Posts, June: NumPy Gets Funding; ML Cheat Sheets For All; Hot Dog or Not?!?
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