In retail, making accurate sales predictions is essential to taking the right decisions that drive profitability. Time series forecasting and predictive modeling are widely used techniques to improve forecasting. This paper explores how deep neural networks can be used to model long range dependencies and how they can be implemented in Python using TensorFlow.
Founded in 2012, Core Compete is a pioneer in Cloud Analytics and is based in Durham, North Carolina with offices in Dallas, London and India (Pune and Hyderabad). We have 300+ employees and over 500 cloud and technology certifications, with highly specialized skills including: domain consultants, data scientists, and cloud engineers. Core Compete is an ISO 27001 and SOC 2 certified organization.
We partner with AWS, Google Cloud, Microsoft Azure, SAS, Snowflake and Tableau to deliver successful cloud analytics and big data transformations for major corporations worldwide.