The LA Machine Learning Meetup began with events discussing a large variety of machine learning topics such as classification, clustering, neural networks, graphical algorithms, information retrieval, search, game theory, computational learning theory, reinforcement learning, collaborative filtering etc. More recently, a Data Science Track was launched with the focus on business applications and the entire process of data mining (e.g. business understanding, data collection, exploratory data analysis, data transformations, feature engineering, modeling, model validation, deployment, communication of results). While in fact Machine Learning is a part of Data Science and not the other way around, rather than starting a new meetup group, Data Science is featured within the already existing Machine Learning meetup.
2 talks: GBM Benchmark In-Depth | The State of XGBoostOctober 15, 2020Machine Learning / Data Science
Meetup: Machine Learning Best Algorithms: Gradient Boosting Machines (GBM)July 20, 2018Machine Learning / Data Science
I think it’s interesting that R is an extremely fixable language.
- Hadley on R -