teachers & mentors
WE ATTRACT THE VERY BEST EXPERTS FROM INDUSTRY TO PROVIDE TUITION IN GROUND BREAKING MACHINE LEARNING TECHNOLOGIES
DR. JOSÉ QUESADA
Jose Quesada is the founder of DSR and AI Deep Dive. He did his PhD work at UC Boulder and then Carnegie Mellon. Jose mentored > 200 machine learning portfolio projects. Some resulted in startups, others ended up being non-profits with significant social impact.
Paco is the Dean of data science at AI Deep Dive. He is a professor in the University of Granada, He’s comfortable speaking six languages. Paco has kept up with the research in deep learning, and applied NN models in several practical applications.
DR. MAREK GAGOLEWSKI
Dr. Marek Gagolewski is a Professor at the Polish Academy of Sciences and Warsaw University of Technology, researching and teaching on Data Science, Big Data, and Machine Learning. He teaches introductory and advanced courses in R, Python, and C++, and supervises PhD and MSc students in Computer and Data Science. He is the author of best-selling books on Python and R programming and many R packages, including the famous stringi package. Marek holds a PhD in Computer Science, specializing in data aggregation, fusion, and mining, as well as computational statistics and uncertainty modeling.
Daniel is the Dean of Data Science Retreat (DSR). He is passionate about Machine Learning, teaching and food. At DSR/DLR he teaches scalable machine learning on Spark. This lead to him writing a library to make Spark Dataframes behave more like Pandas’, HandySpark.
He’s written a really good posts series on how to understand deep learning from first principles,
Daniel is an expert software engineer, Python programmer, and machine learning specialist. When he’s not developing high-performing, end-to-end pattern recognition and predictive analytics systems for his clients, Daniel’s learning new tricks to train deep neural networks more efficiently. Through his company Natural Vision, he’s been successfully applying deep learning to problems in bioacoustics, computer vision, and text mining. He’s the designer and coauthor of skorch, A scikit-learn compatible neural network library that wraps pytorch.