Building an ontology is a tedious task which requires both specialized expertise as well as a broad look on the way the world is built. To facilitate that process, we have developed a unique algorithm. The algorithm generates a data-driven ontology by applying Node2Vec and clustering methods on query-to-product clicks along with minimal information about these products. In this talk, we will discuss this algorithm and offer a deep dive into the methods we used.
Predicting the Stock price Using TensorFlow
Linear Regression using TensorFlow 2.0
Machine Learning Tutorial with Python, Jupyter, KSQL and TensorFlow