[KDnuggets] 52 Useful Machine Learning & Prediction APIs, updated - 머신러닝, 예측 모델 API 소개

[이미지 출처: happiestminds.com]

 

★ API 카테고리

-Face and Image Recognition 얼굴 및 이미지 인식

-Text Analysis, NLP, Sentiment Analysis 텍스트, 자연어 처리, 감성 분석

-Language Translation 번역

-Prediction and Other Machine Learning 예측 등

 

★ Face and Image Recognition

1. Animetrics Face Recognition

2.Betaface

3.Eyedea Recognition

4.Face++

5.FaceMark

6.FaceRect

7.Google Cloud Vision API

8.IBM Watson Visual Recognition

9.Microsoft Cognitive Service - Computer Vision

10.Rekognition

11.Skybiometry Face Detection and Recognition

 

★ Text Analysis, NLP, Sentiment Analysis

1.Bitext

2.Diffbot Analyze

3.Free Natural Language Processing Service

4.Google Cloud Natural Language API

5.IBM Watson Alchemy Language

6.MeaningCloud Text Classification

7.Microsoft Azure Text Analytics API

8.Microsoft Cognitive Service - Text Analytics

9.nlpTools

10.Semantic Biomedical Tagger

11.Thomson Reuters Open Calais™

12.Yactraq Speech2Topics

 

★ Language Translation

1.Google Cloud Translation

2.IBM Watson Language Translator

3.LangId

4.Microsoft Cognitive Service - Translator

5.MotaWord

6.WritePath Translation

 

★ Prediction and Other Machine Learning

1.Amazon Machine Learning

2.BigML

3.Ersatz

4.Google Cloud Prediction

5.Google Cloud Speech API

6.Guesswork.co

7.Hu:toma

8.IBM Watson Conversation

9.IBM Watson Speech

10.IBM Watson Data Insights

11.IBM Watson Retrieve and Rank

12.Imagga

13.indico

14.Microsoft Azure Cognitive Service

15.Microsoft Azure Anomaly Detection API

16.Microsoft Cognitive Service - QnA Maker

17.Microsoft Cognitive Service - Speaker Recognition

18.NuPIC

19.PredicSis

20.PredictionIO

21.RxNLP - Cluster Sentences and Short Texts

22.Sightcorp F.A.C.E

 

-기사출처/설명 보기: [KDnuggets] 52 Useful Machine Learning & Prediction APIs, updated