Microsoft Azure Cognitive Services: Content Moderator
|
The Microsoft Cognitive Services Content Moderator is a state-of-the-art service and set of APIs provided by Microsoft through Azure that enables developers to analyze content embedded in text and images in a very simple way and with little code.
Have you ever wanted to enhance your ability to detect potentially offensive or undesirable text and images and confidently be able to moderate them in an easy way? Have you ever spent hours classifying content and checking for possible personally identifiable information, offensive and unwanted content that could pose a risk to your organization? This course, Microsoft Azure Cognitive Services: Content Moderator, teaches you everything you need to know in order to track, flag, assess, filter out, and moderate offensive and unwanted content that creates a risk for your organization. First, you will get familiar with the Content Moderator set of APIs, showing you how it is possible to analyze text, analyze images, and extract text from images (using Optical Character Recognition). Next, you will learn to easily track, flag, assess, and remove undesirable, offensive, and unwanted content in a smart and practical way. Microsoft has made this possible by offering the Content Moderator set of APIs as part of its Cognitive Services Suite. Finally, you will learn how to access this set of APIs, the type of data they are meant to analyze, the use-cases each is best suited for, and utilize its full potential in real-world scenarios. By the end of this course, you will have gained a fundamental know-how of these APIs that will change your way of moderating text and images forever.
Author Name: Ed Freitas
Author Description:
Eduardo is a technology enthusiast, software architect and customer success advocate. He’s designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions for all types of organizations. He’s designed and supported production systems for global names such as Coca Cola, Enel, Pirelli, Fiat-Chrysler, Xerox and many others. He’s a well-known specialist in the Enterprise Content Management market segment, specifically… more
Table of Contents
- Course Overview
1min - Understanding the Core Aspects of Content Moderator APIs
29mins - Automated Content Moderation
36mins - List Management, Reviews, and Jobs
30mins
User Reviews
Be the first to review “Microsoft Azure Cognitive Services: Content Moderator”
Related Products
SNUx: Introduction to Optimization
A self-contained course on the fundamentals of modern optimization with equal emphasis on theory, implementation, and application. We consider linear and nonlinear optimization problems, including network flow problems and game-theoretic models in which selfish agents compete for shared resources. We apply these models to a variety of real-world scenarios.
DelftX: AI in Practice: Applying AI
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.
AWS: Introduction to Machine Learning on AWS
This course is intended for software developers and engineers taking their first steps with the AWS services that do much of heavy lifting of Machine Learning for you.
UMontrealX: Deep Learning Essentials
Do you want to learn how machines can learn tasks we thought only human brains could perform? Then take this Deep Learning course developed by IVADO, Mila and Université de Montréal: an extensive overview of the essentials of deep learning, this ground-breaking technology already prevalent in our lives and spanning all sectors.
Getting Started with Natural Language Processing with Python
This course is all about taking raw text data and deriving insights and value from it--processing text data using standard techniques in Natural Language Processing and Machine Learning.
LinuxFoundationX: Data and AI Fundamentals
Learn the fundamentals of Artificial Intelligence with a combination of AI fundamentals and an overview of the rich Linux Foundation AI & Data projects ecosystem. It is well-suited for any kind of AI adopter, regardless of the professional background and level of technical knowledge.
There are no reviews yet.