TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

New AI-powered farming machines trained on the PyTorch framework are being developed to help farmers produce more food with fewer resources. Blue River Technology is using the PyTorch machine-learning ...

Machine learning (ML) is touted as the most critical skill of current times. Artificial intelligence (AI), an application of ML, is becoming pervasive. From autonomous vehicles to self-tuned databases ...