Based on our record, Scikit-learn should be more popular than Magic. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Magic (https://getmagic.com/) | Software Engineer (Full stack Javascript | 100% Remote (preferably APAC, Africa and EU regions) | Full-time | $50,000 to 60,000/year We are the Engineering Team at Magic, a Y Combinator (W15) company. We connect businesses to virtual assistants, with over $30MM raised to date. Our team is currently composed of 17 engineers in 7 countries, growing to 30 engineers worldwide in 2022.... - Source: Hacker News / 8 months ago
It was Magic, they did YC W15! They still exist; they've just pivoted a bit into virtual assistants. They mostly were for normal stuff early on, although Justin Kahn (who invested in them) used to do some weird stuff using Magic: https://justinkan.com/feed/fun-with-magic They're still around: https://getmagic.com/. - Source: Hacker News / 11 months ago
Magic (https://getmagic.com/) | Software Engineering Manager (AI products) | 100% Remote (preferably APAC, Africa and EU regions) | Full-time We are the Engineering Team at Magic, a Y Combinator (W15) company. We connect businesses to virtual assistants, with over $30MM raised to date. Our team is currently composed of 16 engineers in 7 countries, growing to 30 engineers worldwide in 2022. Software Engineering... - Source: Hacker News / about 1 year ago
Magic (https://getmagic.com/) launched as an SMS assistant like this. It was pretty cool at the time but I recall they couldn't figure out the unit economics for personal assistants. Maybe Jarvis can! - Source: Hacker News / about 1 year ago
Magic (https://getmagic.com/) | Javascript Full Stack Engineer and Software Development Manager (AI products) | 100% Remote (preferably APAC, Africa and EU regions) | Full-time We are the Engineering Team at Magic, a Y Combinator (W15) company. We connect businesses to virtual assistants, with over $30MM raised to date. Our team is currently composed of 16 engineers in 7 countries, growing to 30 engineers... - Source: Hacker News / about 1 year ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 2 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
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