Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Simple models are much easier to implement today since they’re more accessible.

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to ...

The first key to a successful machine learning project is an ability to collect, store and quickly access large volumes of data. More data means more side cases and more nuanced and precise models.

With AI quickly becoming strategic, look for projects that can give you some quick business wins and help you gain the skills to apply machine learning more broadly.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

It may be the buzziest tech trend of the moment, but machine learning is no easy matter. Before you jump into writing machine learning algorithms, here are the basics you need to start a project.