Scala Lang VS Scikit-learn

Scala Lang Reviews

Scikit-learn Reviews

Scala Lang mentions (5)

• how to setup scala

  I have a new windows 10 and downloaded the Coursier installer from scala-lang.org, the https://docs.scala-lang.org/getting-started/index.html says that you should have either java8 or java11 installed but most tutorials online and posts says to install latest version of java, which java jdk version should I install or does Coursier install it for me or do I choose the latest jdk (java-jdk-19)? Source: over 1 year ago

• [NEWBIE] Problem with the very first project (Coursier installer, Win 10, Java 8)

  Try manually installing sbt without coursier. The instructions are on https://scala-lang.org. Source: over 1 year ago

• The “Either” Issue

  I had met the core developers, we had discussing a lot about which technology would better address our demand and, after many considerations, we had chosen Scala. - Source: dev.to / about 2 years ago

• Next programming language?

  I like scala. It combines object-oriented and functional programming into one high-level language, which makes it fun to learn. I don't know if it is popular in the robotics industry, but it runs on the jvm and can be combined with java, so there is that. I recommend the book "programming scala". Source: over 2 years ago

• 25 years of OCaml

  Scala with the Typelevel ecosystem. Stay on the jVM, but have a much more pleasant and robust experience, including a great REPL. Source: almost 3 years ago

Scikit-learn mentions (27)

• 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 / 10 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: 11 months 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: 12 months 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: about 1 year ago

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago