McAuley has been an Assistant Professor in the Computer Science Department at the University of California, San Diego since 2014. Previously he was a postdoctoral scholar at Stanford University after receiving his PhD from the Australian National University in 2011. His research is concerned with developing predictive models of human behavior using large volumes of online activity data.
Coursera
Dive into this comprehensive course where you'll learn the essential principles of design thinking applied to data products and gain expertise in building predictive analytics models with Python. Perfect for professionals aiming to harness the potential of their data for informed decision making.
Coursera
Embark on your journey into the world of data analysis with our introductory course on Basic Data Processing and Visualization. This course is designed for those new to data science, providing a comprehensive guide to understanding and working with datasets using Python. Master the fundamentals of creating impactful data products through hands-on exercises and real-world examples.
Coursera
Dive into the world of predictive modeling evaluation with our Meaningful Predictive Modeling course. Gain insights on how to measure and compare the effectiveness of various models, from regression to classification, ensuring you build 'good enough' solutions for your data science challenges. Start evaluating model performance today!
Coursera
Discover how to effectively implement and deploy machine learning models with our 'Deploying Machine Learning Models' course. Gain expertise in building recommender systems and learn essential tools for large-scale dataset deployment.