Name: Microsoft Cognitive Toolkit (CNTK)
Rating: 9.8 (2 reviews)
Author: Open Source

Customer Identity and Access Management (CIAM)

Help Desk

Web and Video Conferencing

Customer Support

Interactive Application Security Testing (IAST)

Development

Academic Advising

Online Learning

Education

Business Intelligence (BI)

Collaboration

File Sharing

Risk Management

Workspace Planning

Enterprise

Accounting

Digital Banking

Invoicing

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Configuration Management Databases

Data Collaboration

Data Lakehouse

Database Load Balancing

Enterprise Architecture Management

Fraud Detection

Hyper-Converged Infrastructure

IT Asset Disposal

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

License Management

MLOps

Managed IT Service

Network Monitoring

Network Performance Monitoring

Password Management System

Release Management

Secret Managers

Secure Email Gateway

Session Border Controllers

Virtual Private Cloud (VPC)

WiFi Hotspot

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Audience Intelligence

Content Management

Creative Collaboration

Demand Generation

Digital Content Creation

Email Marketing

Marketing Analytics

Marketing Automation

Online Proofing

Social Media Management

Social Media Marketing

Survey & Forms Building

Swag Management

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead-to-Account Matching and Routing

Sales Gamification

Sales

Video Surveillance

Security

Debt Collection

Equipment Rental

Laboratory Information Management

Membership Management

Real Estate

Vertical-Specific

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Microsoft Cognitive Toolkit (CNTK)

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

Microsoft Cognitive Toolkit (CNTK) Demo

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