At Emerj, the AI Research and Advisory Company, many of our enterprise clients feel as though they should be investing in machine learning projects, but they don’t have a strong grasp of what it is. We often d
Machine learning is widely applicable across many industries. For example, e-commerce, social media and news organizations userecommendation enginesto suggest content based on a customer's past behavior. In self-driving cars, ML algorithms andcomputer visionplay a critical role in safe road navigation...
in which a computer learns to identify complex processes and patterns without relying on previously labeled data. Unsupervised machine learning not only involves training based on data that doesn’t have labels; there’s also no specific, defined output, such as whether an email is likely spam. ...
It might sound as if they’re talking about different things, but they’re not. Both sides are talking about large language models, the technology behind the current AI boom. It’s just that the way we talk about AI is more polarized than ever. In May, OpenAI CEO Sam Altman teased the...
Natural Language Processing (NLP) is an AI subfield that studies how computers and people interact using natural language. It integrates computational linguistics, machine learning, and deep learning to let machines understand, interpret, and generate human language in a meaningful and usable manner. ...
in which a computer learns to identify complex processes and patterns without relying on previously labeled data. Unsupervised machine learning not only involves training based on data that doesn’t have labels; there’s also no specific, defined output, such as whether an email is likely spam. ...
NLP is made to make human-to-machine interactions more efficient in a number of areas. Where NLP deals with the ability of a computer program to understand human language as it's spoken and written to provide sentiment analysis, CL focuses on the computational description of languages as a sy...
Machine Learning is a tool that is quickly becoming more and more available to enterprises. Although this new tool is very powerful, it is still often not well understood. This blog post intends to demystify the concepts around Machine Learning, define m
Language translation, image recognition, and personalized medicines are some examples of deep learning applications. Comparing different industry terms The Importance of Machine Learning In the 21st century, data is the new oil, and machine learning is the engine that powers this data-driven world. ...
making it ideal for managing industrial facilities where machine assets are critical to production. A CMMS, more than an EAM or ERP, is dedicatedmaintenance softwaredesigned for the unique needs of industrial plants. CMMS software optimizes the use, availability, and lifespan of equipment, machinery...