Not exact matches
Moving up the complexity
scale, non-linear or
machine learning models like Neural Networks, Support Vector
Machines or Decision Trees can be used to build the investment signal.
He is also interested in methods that investigate and support large -
scale complex data
modeling (e.g.,
machine learning, missing data, and matching).
Seeing this comparison has me wondering how else the historical temperature reconstuctions could be used to rate, tune or even create improved
models, eg,
scale factors to better fit
model to historical record, and / or create ensemble
models (as is done in the
machine learning world (*)-RRB-.
TensorFlow Serving can be used with Kubernetes, another Google open source project, to
scale and serve
machine learning models.
Mentored sophisticated organizations on large
scale data and analytics using advanced statistical and
machine learning models.