Sukender Reddy Mallreddy, a Salesforce Consultant and data science expert, explains these concepts in his new book, "Real-Time Data Structures: Innovations for Machine Learning with Streaming Data." ...

The core of this patent lies in the establishment of a rolling mill frame analysis system based on deep learning. The system first acquires a three-dimensional model of the rolling mill frame and ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Now that you have a solid foundation in Supervised Learning, we shift our attention to uncovering the hidden structure from unlabeled data. We will start with an introduction to Unsupervised Learning.

Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug discovery and understanding of diseases.