Vu Pham

34 Abonné

Strong background in Numerical optimization, Graphical models, Deep Learning and Machine Learning in general. Experience in researching and building Machine Learning solutions in both academic research labs and industrial companies, with applications in Speech Recognition, Handwriting Recognition... Experienced engineer in building scalable, maintainable systems. Industrial experience with GPU computing (CUDA), Big Data (Spark), JVM (Java/Scala/akka) and various Python/C++ frameworks.

machine learning markov chain markov hmm deep learning seq2seq best practices bias vs. variance optimization line search mrf em gmm k-means

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Vu Pham

Seq2 seq learning

Practical Machine Learning

Markov Models

Hidden Markov Models

K-means, EM and Mixture models