4 of 4 Remote/Hybrid Decision Tree Jobs in the North West

XGBoost, LightGBM, CatBoost) as the default for tabular prediction. Recognising when simpler, more interpretable models, such as regularised logistic regression or well‐constrained decision trees, are the better choice. Applying clustering and segmentation techniques (e.g. k‐means, hierarchical or sequence‐based clustering) to characterise populations. Model Craft Strong ...

tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks ...

multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/ ...

multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/ ...