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Neural Networks history 1958-2021 in one thread!
The machine learning research community is very and very vibrant. Here is what I mean...🧵🧵
Machine learning education is broken. If you are preparing for a research position, you are good. If you are looking to get out there and start solving problems, not even close. Here are some thoughts so you can get ahead. ↓
Quelles sont les meilleures pratiques en #MLOPS, contraction de #MachineLearning et #Operations, pour les #Data Scientists ? @MaggieMhanna, experte en la matière vous répond à travers son article sur @TDataScience 👇towardsdatascience.com/mlops-practice…
To learn about the ML project lifecycle and the steps needed to take a model successfully into production, look no further than @MaggieMhanna's deep dive. buff.ly/3uv05ye
The price of $ADA 1 year ago was $0.03 ...I’m sorry
Check out my latest article on MLOps, how to avoid Machine Learning operations pitfalls and architect your production ML system following the best practices.
Is this EARLY STOPPING? 🤔
We will not give in, ever. We respect all differences in a spirit of peace. We do not accept hate speech and defend reasonable debate. We will always be on the side of human dignity and universal values.
A learning curve that will help you answer many questions: training dataset size vs. model error. ▫️Do we need more data? ▫️Do we have a bias problem? ▫️Do we have a variance problem? ▫️What's the ideal picture? Give this a try. It might help you discover a thing or two.
#Renault Megane eVision : la future Mégane électrique en filigrane. > auto-moto.com/nouveautes/ren… @Groupe_Renault @renault_fr
According to @Stanford and @wef, It’s possible to switch to a fully sustainable global energy landscape within the next 30 years. Renewable energy could power the world by 2050. Link >> bit.ly/2XPaveK v @antgrasso #Energy #Renewables #EnergyTransition #ClimateChange
This is astonishing. Almost every state that’s failing is Republican. twitter.com/AnthonyJClark/…
Our much anticipated Generative Adversarial Networks Specialization is launching on September 30! Here’s your first look at the syllabus, Course 1: Build Basic GANs Course 2: Build Better GANs Sign-up to be notified of upcoming course launches: hubs.ly/H0vLtQ30
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