Welcome to the AI API Reference Guide! This section provides comprehensive information about our AI APIs, including their functionalities, usage, and best practices. Whether you are a beginner or an experienced developer, this guide will help you understand and utilize our AI APIs effectively.
Key Features
- Natural Language Processing (NLP): Analyze and understand human language.
- Computer Vision: Extract insights from images and videos.
- Machine Learning: Build and deploy machine learning models.
- Predictive Analytics: Make data-driven predictions.
Getting Started
Before diving into the details, make sure you have the following prerequisites:
- API Key: Sign up for an account on our website to obtain an API key.
- SDK: Download and install the appropriate SDK for your programming language.
- Sample Code: Explore our sample code to get a head start.
API Reference
Natural Language Processing (NLP)
The NLP API allows you to analyze and understand human language. It includes various functionalities such as sentiment analysis, text classification, and named entity recognition.
- Sentiment Analysis: Determine the sentiment of a given text.
- Text Classification: Classify text into predefined categories.
- Named Entity Recognition: Identify and extract entities from text.
Computer Vision
The Computer Vision API enables you to extract insights from images and videos. It includes functionalities such as object detection, image recognition, and face recognition.
- Object Detection: Detect objects in images and videos.
- Image Recognition: Identify objects and scenes in images.
- Face Recognition: Recognize and analyze faces in images and videos.
Machine Learning
The Machine Learning API allows you to build and deploy machine learning models. It includes various algorithms and tools to help you develop and optimize your models.
- Supervised Learning: Train models on labeled data.
- Unsupervised Learning: Discover patterns and insights from unlabeled data.
- Reinforcement Learning: Learn from interactions with an environment.
Predictive Analytics
The Predictive Analytics API helps you make data-driven predictions based on historical data. It includes various models and algorithms for time series analysis, regression, and classification.
- Time Series Analysis: Analyze and predict future trends.
- Regression: Predict continuous values.
- Classification: Predict categorical outcomes.
Resources
For further information and guidance, please visit the following resources:
Feel free to reach out to our support team if you have any questions or concerns. We are here to help you succeed with our AI APIs!