Data Scientist Interview Questions – Explain what precision and recall are. After the predictive model has been finished, the most important question is: How good is it? Does it predict well? Evaluating the model is one of the most important tasks in the data science project, it indicates how good predictions are. Very often for… Read More Data Scientist Interview Questions – Explain what precision and recall are.
How would you validate-test a predictive model? Why evaluate/test model at all? Evaluating the performance of a model is one of the most important stages in predictive modeling, it indicates how successful model has been for the dataset. It enables to tune parameters and in the end test the tuned model against a fresh cut of… Read More Data Scientist Interview Question: How would you validate a predictive model?
What is Regularization and why it is useful? In Machine Learning, very often the task is to fit a model to a set of training data and use the fitted model to make predictions or classify new (out of sample) data points. Sometimes model fits the training data very well but does not well in… Read More Data Scientist Interview Question: What is Regularization and why it is useful?
What is TensorFlow? TensorFlow is an open source software library for machine learning developed by Google – Google Brain team. Name TensorFlow derives from the operations which neural networks perform on multidimensional data arrays, often referred to as “tensors”. It is using data flow graphs, and is capable of building and training variety of different… Read More What is TensorFlow?