Patrick Nicolas

machine learning scala genetic algorithm cake pattern monad java learning classifiers systems electronic health record deep learning xcs kernel function taxonomy ctr ad targeting saas implicits scalability data management f-bounded polymorphism isolation delimited continuation multitenancy cascading hbase hadoop nosql map-reduce mongodb intrusion detection system reinforcement learning symbolic regression natural language processing wikipedia cassandra neo4j cloud computing contextual targeting magnet pattern contravariant functors crossover mutation monads non-linear models medical ontology lambda architecture streaming transformer bert medical coding apache spark mxnet deep java library pytorch sentence embedding hidden markov models scala for machine learning auto-regressive markov stock prediction features engineering dependency injection streams tail recursion implicit class convariant functor bifunctor weak references tensor contravariant functor type classes covariant functors back pressure