Project Oxford VS Scikit-learn

Project Oxford Reviews

Scikit-learn Reviews

Project Oxford mentions (10)

• Does there exist an API accessible from C# that detects faces in images?

  There are three routes you can go with this. The simplest would probably be to use Microsoft's Face API, which is part of their Azure Cognitive Services platform. All of the computing is done in the cloud, and at least for your purposes, the modelling necessary to detect faces has already been performed by Microsoft, so it's a single method call to send it a picture and receive back a bounding box. The caveat is... Source: over 1 year ago

• 🎵 Do you want to build a Chatbot? 🎵

  Azure Cognitive Services provide a few interesting AI as a service offerings beyond CLU & LUIS that can be helpful for conversational AI:. - Source: dev.to / over 1 year ago

• Need a Speech Recognition Open Source API/Library for videos stored in AWS S3.

  Hello, not sure about the quality of this API as I’ve just heard about it but thought it might help you: Azure Cognitive Services. Source: over 1 year ago

• AZ-900 Azure Fundamentals Resources

  Cognitive Services Https://azure.microsoft.com/en-us/services/cognitive-services/. - Source: dev.to / almost 2 years ago

• Understanding Azure Cognitive Services

  Microsoft Azure offers an umbrella service known as Cognitive Services. This service provides AI capabilities that you can integrate into your existing applications through a single managed area. - Source: dev.to / about 2 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 / 11 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: 12 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