RT @donacsgo: I’m continuing my partnership with trading side SkinSwap, so we give away another 200$ balance on Twitter and soon the same o…

How to confuse your machine learning model. (credit: @teenybiscuit)

It's been an exciting week: the 'Machine Learning Q and A' book with @nostarch has been shipped to the printer and is now available for preorder! If you've been searching for a resource following an introductory machine learning course, this might be the one. I'm covering 30 concepts that were slightly out of scope for the previous books and courses I've taught, and I've compiled them here in a concise question-and-answer format (including exercises). I believe it will also serve as a useful companion for preparing for machine learning interviews. The topics were selected from the entire breadth of machine learning subfields: Neural networks and deep learning, computer vision, natural language processing, production and deployment, and performance evaluation. Here are just a few examples: - Managing the various sources of randomness in neural network training. - Differentiating between encoder and decoder architectures in large language models. - Reducing overfitting through data and model modifications. - Constructing confidence intervals for classifiers and optimizing models with limited labeled data. - Choosing between different multi-GPU training paradigms and various types of generative AI models. - Understanding performance metrics for natural language processing. - Making sense of the inductive biases in vision transformers. - And many more. Note that this is not a coding book. However, I also have a supplementary GitHub repository with hands-on code examples for those chapters where it makes sense.

We gain self awareness by: - listening to feedback from people - reflecting on our own actions - learning what our daily patterns are - investing time in personal growth to become a better person

You can now export your programs from the PromptIDE and run them locally.

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Come throw down some eigenvalues in 30 min!

Georgia lawmakers consider measures to curb soaring property taxes as home values rise trib.al/fhYaXY5

On the positive side, he can transition to VC without changing his outfit

At least 10 people killed in an explosion at a fireworks depot in central Thailand, officials say cnn.com/2024/01/17/asia/thai…

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Alibaba releases SCEPTER demo: huggingface.co/spaces/models… github: github.com/modelscope/scepte… an open-source code repository dedicated to generative training, fine-tuning, and inference, encompassing a suite of downstream tasks such as image generation, transfer, editing

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Dans le cadre du programme #Phoebus, un démonstrateur de réservoir de lanceur de 2m a été rempli d'oxygène liquide et pressurisé le mois dernier, prouvant que le plastique renforcé de fibres de carbone peut contenir un ergol à -180°C. À ces températures, sur le site d'essais de Rheinmetall à Unterlüß 🇩🇪, il fallait s'attendre à un peu de givre... ❄ Ayant réussi tous ses tests jusqu'à présent, Phoebus a été réexpédié à Augsbourg 🇩🇪 où il sera "poussé et tiré" pour tester sa résistance aux contraintes simulées d'un décollage 🚀 Plus de détails 👉 esa.int/Enabling_Support/Spa…

How to “reverse-engineer” startup ideas: 1. Pick an industry you like 2. Observe problems in that space 3. Research SEO keyword volumes 4. Browse through competitor forums Result: You build something you love and also solve real problems.

How street food crepes are made

Things are bad even UoN is advertising now like private universities

Imo Poly Student Missing After Visiting Her Boyfriend In Edo.