This Week in Machine Learning: Earthquakes, Music, and More
Every day brings new opportunities. A week brings even more. To make sure you’re getting the most out of it, we’ve gathered a list of trending articles of the week – everything about Data Science, AI, tech and machine learning.
Let’s see what was happening in machine learning over the past week.
Here goes a dose of the latest news, discoveries, and inspiring stories. There is something for everyone. Enjoy your read!
Weekly Roundup: February 24th - March 2nd
> How to use machine learning (if you can’t code) to help your keyword research by Andy Chadwick | Search Engine Land, February 28
Here’s an easy way to categorize 100k keywords in less than a few hours of actual working time for SEO and machine learning lovers.
A fascinating article on how MIT researchers have used a neural network to identify low-frequency seismic waves hidden in earthquake data. The technique may help scientists more accurately map the Earth’s interior.
> Interview with fast.ai hero: Radek Osmulski | Fast.ai, Learning to Learn | Machine Learning, Kaggle & Blogging by Sanyam Bhutani CTDS.show (Chai Time Data Science) March 1
If you want to learn interesting facts about Fast.ai, tune in and enjoy the show!
> AI and Machine Learning: How They Are Changing the Content Industry by Alice Jones on | cloud academy, February 28
For those of you who work in content marketing, and write. Read how it affects your work.
> Making Sense of Sound: What Does Machine Learning Mean for Music? by Alex Paretski | datanami.com February 28
Machine learning and its impact on music. Can AI create music? The pros, cons, and limitations.
> Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer by Adam Roberts, Staff Software Engineer and Colin Raffel, Senior Research Scientist, Google Research | Google AI Blog, February 24
Google’s insights from their latest work on NLP.
> KDnuggets™ News of the week with top stories and tweets of the past week, plus opinions, tutorials, events, webinars, meetings, and jobs
> Don’t forget about the reliable Reddit thread on ML for more news on machine learning!
That’s all folks! I hope you found something of interest in this weekly roundup. Don’t forget to check our blog for more inspiring articles.
👉 Came across an interesting ML article? Or maybe you wrote one yourself and would like to share it with other people? Let us know, we’ll spread the news in our weekly roundup!
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