Giancarlo Zaccone has over ten years of experience in managing research projects in scientific and industrial areas.
Giancarlo worked as a researcher at the CNR, the National Research Council of Italy. As part of his data science and software engineering projects, he gained experience in numerical computing, parallel computing, and scientific visualization.
Currently, Giancarlo is a senior software and system engineer, based in the Netherlands. Here he tests and develops software systems for space and defense applications.
Giancarlo holds a master's degree in Physics from the Federico II of Naples and a 2nd level postgraduate master course in Scientific Computing from La Sapienza of Rome.
Giancarlo is the author of the following books: Python Parallel Programminng Cookbook, Getting Started with TensorFlow, Deep Learning with TensorFlow, all by Packt Publishing.
You can follow him at https://it.linkedin.com/in/giancarlozaccone.
Md. Rezaul Karim is a research scientist at Fraunhofer FIT, Germany. He is also pursuing his PhD at the RWTH Aachen University, Aachen, Germany. He holds BSc and MSc degrees in Computer Science. Before joining Fraunhofer FIT, Rezaul had been working as a researcher at Insight Centre for Data Analytics, Ireland. Previously, he worked as a Lead Engineer at Samsung Electronics. He also worked as a research assistant at Database Lab, Kyung Hee University, Korea and as an R&D engineer with BMTech21 Worldwide, Korea.
Rezaul has over 9 years of experience in research and development with a solid understanding of algorithms and data structures in C, C++, Java, Scala, R, and Python. He has published several research papers and technical articles concerning Bioinformatics, Semantic Web, Big Data, Machine Learning and Deep Learning using Spark, Kafka, Docker, Zeppelin, Hadoop, and MapReduce.
Rezaul is also equally competent with (deep) machine learning libraries such as Spark ML, Keras, Scikit-learn, TensorFlow, DeepLearning4j, MXNet, and H2O. Moreover, Rezaul is the author of the following books:
Large-Scale Machine Learning with Spark, Deep Learning with TensorFlow, Scala and Spark for Big Data Analytics, Predictive Analytics with TensorFlow, Scala Machine Learning Projects, all by Packt Publishing.