Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The platform offered by Descartes Labs is tailored to tackle some of the most intricate and urgent questions in geospatial analytics today. Users leverage this robust platform to create algorithms and models that enhance their business operations in a swift, efficient, and budget-friendly manner. By equipping both data scientists and business professionals with top-tier geospatial data and comprehensive modeling tools in a single solution, we facilitate the integration of AI as a fundamental skill set within organizations. Data science teams benefit from our scalable infrastructure, enabling them to develop models at unprecedented speeds, utilizing either our extensive data archive or their proprietary datasets. Our cloud-based platform empowers customers to seamlessly and securely scale their computer vision, statistical, and machine learning models, providing vital raster-based analytics to guide critical business decisions. Additionally, we offer a wealth of resources, including detailed API documentation, tutorials, guides, and demonstrations, which serve as an invaluable repository of knowledge, enabling users to efficiently implement high-impact applications across a variety of sectors. This comprehensive support ensures that users can fully harness the potential of the platform, driving innovation and growth in their respective industries.
Description
A data science platform designed to enhance productivity offers unmatched features that facilitate the development and assessment of superior machine learning (ML) models. By leveraging enterprise-trusted data swiftly, businesses can achieve greater flexibility and meet their data-driven goals through simpler deployment of ML models. Cloud-based solutions enable organizations to uncover valuable business insights efficiently. The journey of constructing a machine learning model is inherently iterative, and this ebook meticulously outlines the stages involved in its creation. Readers can engage with notebooks to either build or evaluate various machine learning algorithms. Experimenting with AutoML can yield impressive data science outcomes, allowing users to create high-quality models with greater speed and ease. Moreover, automated machine learning processes quickly analyze datasets, recommending the most effective data features and algorithms while also fine-tuning models and clarifying their results. This comprehensive approach ensures that businesses can harness the full potential of their data, driving innovation and informed decision-making.
API Access
Has API
Yes
API Access
Has API
No
Integrations
OCI Data Labeling
No
Optimal Transportation Spend Software (OTS)
Yes
Oracle Cloud Infrastructure
No
Integrations
OCI Data Labeling
Yes
Optimal Transportation Spend Software (OTS)
No
Oracle Cloud Infrastructure
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Descartes Labs
Founded
2014
Country
United States
Website
www.descarteslabs.com
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-science/
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No