What is Natural Language Processing?
Natural Language Processing (NLP) for short refers to the manipulation of speech and text by software.
Establishing Ground Truth Data
Ground truth data is the objective, provable data used to train, validate and test models. It is directly related to the task that needs to be achieved. AI cannot set the objectives. It is the job of humans.
Understanding Synthetic Data
With businesses looking for more and more data to enable machine learning, many are turning to synthetic data to fill in the gaps.
Understanding the Data Side of Machine Learning
There are many different types of learning that you may encounter as a practitioner in the field of machine learning — here are some of the most important.
The Importance of Linguistic Diversity in AI and ML
Linguistic diversity in AI means more access, inclusion, and use cases for everyone who benefits from machine learning.
The Machine Learning Workflow
Any given machine learning workflow defines which phases are implemented, and how, during a ML project.
Conversational AI for Customer Service
Across all industries, conversational AI for customer service and success is used to cut costs and increase client and prospect engagement.
Goals of Medical Image Annotation
Medical image annotation saves time and lives. Learn more about its use cases.
Understanding Conversational AI
Conversational AI is the synthetic language and brainpower that makes human interactions with machines more effective and natural.
The Fundamentals of Audio Annotation
Audio annotation services are a subset of data annotation that focuses on tagging audio data.