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3 tips on how to use @arxiv: 1. Changing "abs" to "pdf" in the link 2. Code & Data tab 3. A new Demos tab in collab with @huggingface https://t.co/8lKvKNyJet A thread π§΅
We are attempting to explain the basic idea of hyperparameters! ... in only 6 tweets! π² (Can you believe that?) Let's go β¬οΈ
3 papers to understand Time-Series Forecasting β³ better. 1. Time-series Extreme Event Forecasting @UberEng 2. AutoML for Time-Series Forecasting @GoogleAI 3. AR-Net @MetaAI A Th...
6 Internships in Data in India. A thread π§΅
5 facts about meta-learning. A thread 𧡠https://t.co/Th9a8iFr3W
3 platforms for hyperparameter optimization βοΈβ of ML models. 1. Weights and Biases @weights_biases 2. H2O AutoML @h2oai 3. CML @DVCorg A thread 𧡠https://t.co/SrQniE9wHo
Meta-learning methods optimize for the type of model they are intending to produce. How meta-learning can be applied to incredibly diverse deep learning models? π§΅
A thread with the latest AI news is mindblowing π€―π§΅β¬οΈ
3 research papers to understand Hyperparameter Optimization better. 1. The Lottery Ticket Hypothesis @MIT 2. Population Based Training of Neural Networks @DeepMind 3. Continual Le...
We have witnessed the shutdown of innovative AI startups and massive ML talent layoffs. It awkwardly coincided with sizable funding rounds by ML startups. Whatβs really happening...
Want to increase your skills in Computer Vision? Here are 3 FREE courses from @UCBerkeley, @GeorgiaTech, and @CarnegieMellon. A thread 𧡠β¬οΈ https://t.co/PzgtzHgUM7
Why you should use transformers π¦Ύ in the time-series forecasting π scenarios? A thread β¬οΈ