The phrase "advanced machine learning" is correct and usable in written English.
It can be used when discussing sophisticated techniques and algorithms in the field of artificial intelligence and data analysis.
Example: "The research paper focuses on advanced machine learning methods to improve predictive accuracy in large datasets."
Alternatives: "sophisticated machine learning" or "cutting-edge machine learning".
The system, called DeLMA is based on integrating advanced machine learning with high performance computing (HPC).
Provides students with the knowledge needed to use and develop advanced machine learning solutions to challenging problems.
For this research, we introduce advanced machine learning methods to construct PGM prior models from different sources.
As advanced machine learning transitions from a primarily scientific pursuit to one with high industrial importance, Google's bench is probably deepest.
This algorithm, leveraging advanced machine learning analytics, can predict with nearly 80% certainty the likelihood that a given diabetic patient will incur a costly and unwanted unplanned visit.
"Face ID uses advanced machine learning to recognize changes in your appearance.
This could include modern spam filters, systems designed to detect illicit or copyright material, and advanced machine-learning-based computer security systems.
Furthermore, Avant employs advanced machine-learning algorithms to underwrite consumers whose credit scores were affected by the financial crisis.
Advanced machine-learning technologies, which can absorb large quantities of data and identify statistical patterns often without explicit instruction, can be especially hard to verify.
Advanced machine-learning models have transformed the way systems can leverage visual recognition, speech and language understanding that are used in gamification.
Advanced machine-learning techniques have been explored to better study corpuses in different languages, but these are beyond the scope of our study.
