Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Data that’s captured isn’t always stored, and storage alone doesn’t get the job done. Many transportation agencies are sitting on troves of data they’re not sure how to interpret. Even when vendors ...

The Association for Diagnostics & Laboratory Medicine (ADLM) announced today the launch of its Data Science in Laboratory Medicine Certificate Program, designed to help clinical laboratory ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

Ever notice in soccer when a midfielder runs his or her legs off to get the ball to a striker who then taps it into the net and gets all the glory? Charlie Berger wants to help database administrators ...

Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples included. #CosineSimilarity #DataScience #MachineLearning ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Traditional marketing research often involves assessing the overall market for a good or service, surveying consumers about their likes and dislikes, and conducting focus groups to gauge consumer ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

Excerpt from Data Management Plan: The research results will be promptly published through peer reviewed journals, conference proceedings, and the other usual channels. The primary expected product of ...