Tensors are all you need

Speed up Inference of your scikit-learn models This article was originally published here. Deep learning frameworks consist of tensors as their basic computational unit. As a result, they can utilize the hardware accelerators (e.g., GPUs), thereby speeding up the model training and inference. However, the traditional machine learning libraries like scikit-learn are developed to run on CPUs … Continue reading Tensors are all you need

Beware of the Dummy variable trap in pandas

Important caveats to be kept in mind when encoding data with pandas.get_dummies() Handling categorical variables forms an essential component of a machine learning pipeline. While machine learning algorithms can naturally handle the numerical variables, the same is not valid for their categorical counterparts. Although there are algorithms like LightGBM and Catboost that can inherently handle the categorical variables, it is … Continue reading Beware of the Dummy variable trap in pandas

H2O AI Hybrid Cloud: Democratizing AI for every person and every organization

Harnessing the true potential of AI by enabling every employee, customer, and citizen with sophisticated AI technology and easy-to-use AI applications. Democratization is an essential step in the development of AI, and AutoML technologies lie at the heart of it. AutoML tools have played a pivotal role in transforming the way we consume and understand … Continue reading H2O AI Hybrid Cloud: Democratizing AI for every person and every organization