Andrew Rider is a machine learning expert who is passionate about providing reproducible analysis and well tested software. He has professional experience in recommendation systems, time series analysis, clustering, NLP, deep learning, mixture models, AB testing, network analysis, and distributed systems.
Dr. Rider has applied machine learning in several domains, including systems biology, health care, social media, and logistics.
He received a PhD in Computer Science from the University of Notre Dame in 2013, with a dissertation entitled "Data and Network Science for Noisy Heterogeneous Systems." He studied the application of machine learning to domains in which there are simultaneously systematic problems in the data and multiple types of information that are complimentary but cannot be directly compared.
We will develop a machine learning model for your problem. You will receive:
Small data sets (less than 20 variables and 10,000 observations) - $1250
Large data sets - price on request
Custom projects - price on request
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