Remove articles ai-critical-phases-of-training-and-inference
article thumbnail

Lessons learned building natural language processing systems in health care

O'Reilly Media - Ideas

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). are written in English.

System 94
article thumbnail

AI Product Management After Deployment

O'Reilly Media - Ideas

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed. Debugging AI Products.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Named Entity Recognition: The Mechanism, Methods, Use Cases, and Implementation Tips

Altexsoft

This article explains what named entity recognition is, its working principles, and how it is used in real life. This is a collection of texts used for linguistic analysis and training NER models. A corpus can range from a set of news articles to academic journals or even social media posts. POS tagging.

article thumbnail

Practical Skills for The AI Product Manager

O'Reilly Media - Ideas

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

article thumbnail

Data Mining: use cases & benefits

Apiumhub

In this article you will find key data mining use cases as well as how data mining has opened a world of possibilities for business. Over the last decade, advances in processing power and speed have enabled us to move beyond manual, tedious and time-consuming practices to quick, easy and automated data analysis. What is Data Mining.