How to train and deploy deep learning at scale
Ben Lorica, Chief Data Scientist at O’Reilly Media, Inc. spoke with Assistant Professor Ameet Talwalkar
Manuela Veloso recognized on KDnuggets
Manuela Veloso recognized on "18 Inspiring Women in AI, Big Data, Data Science and Machine Learning" due to her expertise in AI and Robotics
Forecasting the Flu
Roni Rosenfeld (Prof. Machine Learning Department & LTI, CMU SCS) dicusses Delphi's work on a video interview.
Machine Learning Recent News
What is Machine Learning?
A message from Manuela Veloso - Head, Machine Learning Department
Machine Learning (ML) is a fascinating field of Artificial Intelligence (AI) research and practice where we investigate how computer agents can improve their perception, cognition, and action with experience. Machine Learning is about machines improving from data, knowledge, experience, and interaction.
Machine Learning utilizes a variety of techniques to intelligently handle large and complex amounts of information build upon foundations in many disciplines, including statistics, knowledge representation, planning and control, databases, causal inference, computer systems, machine vision, and natural language processing.
AI agents with their core at Machine Learning aim at interacting with humans in a variety of ways, including providing estimates on phenomena, making recommendations for decisions, and being instructed and corrected.
In our Machine Learning Department, we study and research the theoretical foundations of the field of Machine Learning, as well as on the contributions to the general intelligence of the field of Artificial Intelligence. In addition to their theoretical education, all of our students, advised by faculty, get hands-on experience with complex real datasets.
Machine Learning can impact many applications relying on all sorts of data, basically any data that is recorded in computers, such as health data, scientific data, financial data, location data, weather data, energy data, etc.
As our society increasingly relies on digital data, Machine Learning is crucial for most of our current and future applications.