- Data Scientist / Cloud Architect
Mark Hodnett
With over 20 years of industry experience in software development, business intelligence systems, and data science, Mark joined fourTheorem as Data Scientist and Cloud Architect in 2021.
A dedicated academic, Mark holds a BSc. in Computer Applications from Munster Technological University, a Diploma in Applied Project Management from University College Cork, an MBA from Heriot-Watt University, and an MSc. in Applied Data Science and Analytics from Technological University Dublin.
Mark teaches a post-graduate course in Data Mining and Visualisation at Munster Technological University and is the co-author of ‘R Deep Learning Essentials – Second Edition‘ and ‘Deep Learning with R for Beginners: Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet’
Deep Learning with R for Beginners
Deep learning has a range of practical applications in several domains, while R is the preferred language for designing and deploying deep learning models. This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch.
R Deep Learning Essentials
Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.
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