There have been significant advances in recent years in the areas of neuroscience, cognitive science, and physiology related to how humans process information. This semester, I’m taking a graduate course called Bio-Inspired Intelligent Systems. It provides broad exposure to the current research in several disciplines that relate to computer science, including computational neuroscience, cognitive science, biology, and evolutionary-inspired computational methods.
An Introduction to Big Data: Data Querying
This semester, I’m taking a graduate course called Introduction to Big Data. It provides a broad introduction to the exploration and management of large datasets being generated and used in the modern world. In an effort to open-source this knowledge to the wider data science community, I will recap the materials I will learn from the class in Medium. Having a solid understanding of the basic concepts, policies, and mechanisms for big data exploration and data mining is crucial if you want to build end-to-end data science projects.
Datacast Episode 9: Diving into Data Engineering with Mark Sellors
Mark Sellors is the Head of Data Engineering at Mango Solutions, a UK based Data Science consultancy. He has more than a decade’s experience working with analytical computing environments, DevOps and Unix/Linux. He uses his experience to help Mango’s customers transform their analytic capabilities to ensure they can make the most of their data.
Datacast Episode 8: From Underwater Communication to Data Science with Chintan Shah
Chintan is a data scientist currently working as advanced analytics manager at Avanade. He did his Ph.D. in Underwater Communication where he developed communication systems for commercial applications. He has over 10 years of R&D experience and has worked in academia, oil & gas and consultancy. He is passionate about data science and delivering projects that help companies derive actionable insights.
An Introduction to Big Data: Relational Database
This semester, I’m taking a graduate course called Introduction to Big Data. It provides a broad introduction to the exploration and management of large datasets being generated and used in the modern world. In an effort to open-source this knowledge to the wider data science community, I will recap the materials I will learn from the class in Medium. Having a solid understanding of the basic concepts, policies, and mechanisms for big data exploration and data mining is crucial if you want to build end-to-end data science projects.
Datacast Episode 7: Building Open-Source R Packages with Thomas Lin Pedersen
Thomas is a bioinformatician, turned software engineer, who enjoys developing tools for data scientists. His main interests are in the tools that bring the scientist closer to their data, whether it be through intuitive and powerful APIs or through visualization. He describes himself as a creative spirit who enjoys photography as well as generative art and graphic design, and he tends to try and combine this with his interest in programming whenever possible. Thomas lives just north of Copenhagen with his wife and two kids.