I’ve been teaching for a long time, mainly to professionals that want to apply data science, machine learning, AI or, in general, perform organization transformations to take advantage of data and algorithms. My lecturer are very focused on the application so have strong hands-on orientation. I also had some technical sessions, that I also like to give.
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This is my catalog of lectures, if you are interested in any of this contents, please contact me on Linkedin or through my X profile:
- Data strategy:
- Data & AI culture:
In general, my area of expertise covers these topics:
- Business or organizational:
- Product innovation through data and algorithms
- Organizational innovation strategy through AI
- Data strategy and leadership roles as CDO, CDAIO, etc.
- Transformation strategies and data governance
- Data monetization
- Fostering and promoting a data culture
- Technical:
- Distance metrics and KNN (K-nearest neighbors)
- Spatial data science (a bit of spatial data engineering and a bit on geostatistics)
- Graphs (networks in python)
- Meta-heuristics, focused on optimization (evolutionary as genetic algorithms, particles, hill-climbing, etc …)
- Applied urban science: housing market modeling, automatic valuation models
Below I describe some of the lectures that I will be completing over time (and maybe uploading some contents).