Related Products
|
||||||
About
Decanter AI is a no-code AI platform to help data scientists, domain experts, and business stakeholders to design and deploy AI solutions seamlessly. Data provides a record of a business's successes and failures, enabling review and process improvement. However, the high technical requirements of dealing with big data to make informed business decisions will become a significant challenge in the near future, particularly for enterprises with limited knowledge and experience in building AI models. Decanter AI utilizes automated machine learning (AutoML), automation of the machine learning process, to help enterprises make AI-driven decisions and generate business value from their data. Decanter AI empowers enterprises with world-class machine learning technologies through an intuitive interface. By rapidly building, testing, and deploying highly accurate machine learning models, Decanter AI enables enterprises to solve business challenges and unique needs using an AI-driven approach.
|
About
A data science platform that improves productivity with unparalleled abilities. Build and evaluate higher-quality machine learning (ML) models. Increase business flexibility by putting enterprise-trusted data to work quickly and support data-driven business objectives with easier deployment of ML models. Using cloud-based platforms to discover new business insights. Building a machine learning model is an iterative process. In this ebook, we break down the process and describe how machine learning models are built. Explore notebooks and build or test machine learning algorithms. Try AutoML and see data science results. Build high-quality models faster and easier. Automated machine learning capabilities rapidly examine the data and recommend the optimal data features and best algorithms. Additionally, automated machine learning tunes the model and explains the model’s results.
|
About
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
|
||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
||||
Audience
Organizations that need an expert system for AI-driven decision making to help their data scientists and business analysts
|
Audience
Companies searching for a data science platform that improves productivity
|
Audience
Developers interested in a beautiful but advanced programming language
|
||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
||||
API
Offers API
|
API
Offers API
|
API
Offers API
|
||||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
||||
Reviews/
|
Reviews/
|
Reviews/
|
||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
||||
Company InformationMoBagel Inc.
Founded: 2015
United States
mobagel.com/decanter-ai/
|
Company InformationOracle
Founded: 1977
United States
www.oracle.com/data-science/
|
Company InformationPython
Founded: 1991
www.python.org
|
||||
Alternatives |
Alternatives |
Alternatives |
||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
Categories |
||||
Predictive Analytics Features
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
|
||||||
Integrations
ActiveState
AtomicJar
Casbin
Cloud Custodian
Constructor Proctor
ExcelMaster.ai
Figstack
Grok Code Fast 1
Intel oneAPI HPC Toolkit
Llama 4 Maverick
|
Integrations
ActiveState
AtomicJar
Casbin
Cloud Custodian
Constructor Proctor
ExcelMaster.ai
Figstack
Grok Code Fast 1
Intel oneAPI HPC Toolkit
Llama 4 Maverick
|
Integrations
ActiveState
AtomicJar
Casbin
Cloud Custodian
Constructor Proctor
ExcelMaster.ai
Figstack
Grok Code Fast 1
Intel oneAPI HPC Toolkit
Llama 4 Maverick
|
||||
|
|
|
|