Patrick Nicolas

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