Better Training Data Better AI. Since the 80's the AI paradigm has been Better Models = Better AI. Today the limitations of this paradigm are clear: significant efforts for marginal performance improvements, restricted access to overspecialized engineers, low explainability, low control, and prohibitive project costs. @Kili Technology, we are believers. 3 years ago, Edouard d’Archimbaud … Continue reading Better Training Data, Better AI
My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do? Data Quality as a first response Introduction The ultimate goal of every data scientist or company that builds ML models is to create the better model with the highest predictive accuracy in production. Usually, we start with state-of-the-art algorithms being … Continue reading My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do?
What Dataset should I use to retrain my model ? Retraining a model is a necessary step in a model conception. What do I do if new data is available to me ? What do I do if my model shows lower prediction performances compared to the time I trained and tested it ?Suppose that … Continue reading What Dataset should I use to retrain my model ?