Check-out some of my work!
- Scaling up with Distributed Tensorflow on Spark
- I.o.T Project: Thermal Camera’s and Reinforcement Learning for more Eco-Friendly Houses (Part I)
- [The Use Case Treasure-Trove (Part I): Reducing Administration Costs with AI-driven Record Linkage)(https://medium.com/machine-learning-rambling/the-use-case-treasure-trove-part-i-reducing-administration-costs-with-ai-diven-record-linkage-1cf9aaff7f93)
- [Tuning Hyperparameters (part II): Random Search on Spark)(https://towardsdatascience.com/hyperparameters-part-ii-random-search-on-spark-77667e68b606)
- [Tuning Hyperparameters (part I): SuccessiveHalving)(https://towardsdatascience.com/tuning-hyperparameters-part-i-successivehalving-c6c602865619)
- [Building a Soft Decision Tree in TensorFlow)(https://towardsdatascience.com/building-a-decision-tree-in-tensorflow-742438cb483e]
- [Custom Optimizer in TensorFlow)(https://towardsdatascience.com/custom-optimizer-in-tensorflow-d5b41f75644a)
- [Regression prediction intervals with XGBOOST)(https://towardsdatascience.com/regression-prediction-intervals-with-xgboost-428e0a018b)