Useful tips for everyday
Why LightGBM is fast? There are three reasons why LightGBM is fast: Histogram based splitting. Gradient-based One-Side Sampling (GOSS) Exclusive Feature Bundling (EFB) What is…
How do you handle imbalanced data in deep learning? 7 Techniques to Handle Imbalanced Data Use the right evaluation metrics. Resample the training set. Use…
What is model selection process? Model selection is the process of selecting one final machine learning model from among a collection of candidate machine learning…
How does word2vec represent words in vector space? Word2vec represents words in vector space representation. Words are represented in the form of vectors and placement…
What does TensorFlow do? TensorFlow provides a collection of workflows to develop and train models using Python or JavaScript, and to easily deploy in the…
How do you do semantic clustering? Inbenta’s Semantic Clustering groups semantically equivalent search queries — words, phrases and sentences — into clusters based on meaning.…
Is supervised classification better than unsupervised? While supervised learning models tend to be more accurate than unsupervised learning models, they require upfront human intervention to…
What kind of data structure is a binary tree? A binary tree is a tree-type non-linear data structure with a maximum of two children for…
How is scikit-learn used for gradient boosting? The scikit-learn library provides the GBM algorithm for regression and classification via the GradientBoostingClassifier and GradientBoostingRegressor classes. Let’s…
When do you get an error in concatenate? Although CONCATENATE is still available for backward compatibility, you should consider using CONCAT as it is a…