MyNoise Reviews

Scikit-learn Reviews

MyNoise mentions (302)

• Ask HN: How do you optimize your focus?

  I cannot speak higher of https://mynoise.net/ It is so amazing for pink noise and all the other noises. I basically always have a tab with this up. - Source: Hacker News / 3 months ago

• I find this helpful, but "normies" don't understand!

  I use https://mynoise.net/ or sometimes a podcast, usually something like https://fallofcivilizationspodcast.com/ (lol). Source: 6 months ago

• Sleep advice needed

  I use http://mynoise.net - there's a phone app too. Source: 7 months ago

• Where do you do your "deep work" during your PhD?

  For more routine work that isn't as deep but is still cognitively demanding, I usually stay at my desk and put on a post-rock playlist and https://mynoise.net/ on top of it (I like Irish coast), so loud that any other noise gets blocked out. I put a sign up saying not to disturb me. Source: 8 months ago

• Spotify weighed redirecting white noise podcasts to talk content

  Spotify needs to license https://mynoise.net and include their dozens of soundscapes into the Spotify client. The captured audio soundscapes are high quality, engineered, mixable audio from many relaxing and peaceful natural and artificial environments. Tossing a few million dollars towards the MyNoise people for something that's currently donor-ware would be amazing for the creators as well as opening up the... - Source: Hacker News / 10 months ago

Scikit-learn mentions (28)

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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 / 3 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  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 / 12 months ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  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: about 1 year ago

• Help on using R for Machine Learning?

  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: over 1 year ago