Forget models, build a data flywheel | Machine Learning Monthly January 2021

As usual an unbelievable month on tour in the world of machine learning for January! Seems like the trend of the year is: multi-modal models, transformers taking over everything and machine learning deployment becoming mainstream (don't let your models die in notebooks, deploy them). Machine Learning Monthly January 2021 - https://zerotomastery.io/blog/machine-learning-monthly-january-2021/ Support freeCodeCamp's Data Science Curriculum - https://www.freecodecamp.org/news/building-a-data-science-curriculum-with-advanced-math-and-machine-learning/ Connect elsewhere: Web - https://dbourke.link/web Get email updates on my work - https://dbourke.link/newsletter Timestamps: 0:00 - Intro/hello 1:15 - freeCodeCamp's data science fund (donate if you can!) 2:57 - my upcoming TensorFlow course 3:54 - detecting hateful memes by Niklas Muennighoff 7:09 - Aurélien’s deep thoughts blog 9:14 - OpenAI’s massive January 10:12 - DALLE (creating images from text) 14:32 - CLIP (using text to help fix major problems in computer vision) 20:34 - Amit’s Papers with Video Chrome extension 22:30 - Bottleneck Transformers take over vision 25:16 - Bonus #1: Full Stack Deep Learning’s guide to transformers 25:59 - Made with ML’s pivot 29:13 - Awesome production machine learning 30:12 - Josh Tobin’s the missing piece of full-stack ML talk 33:26 - Bonus #2: Full Stack Deep Learning’s 2021 curriculum 35:02 - Apple’s system for delivering ML to 1 billion+ devices 40:05 - Outro/summary #machinelearning #datascience