Tools for Making Machine Learning Easier and Smoother

Learn new methods for using deep learning to gain actionable insights from rich, complex data. During the past decade, enterprises have begun using machine learning (ML) to collect and analyze large amounts of data to obtain a competitive advantage. Now some are looking to go even deeper – using a subset of machine learning techniques called deep learning (DL), they are seeking to delve into the more esoteric properties hidden in the data. The goal is to create predictive applications for such areas as fraud detection, demand forecasting, click prediction, and other data-intensive analyses. The computer vision, speech recognition, natural language processing, and audio recognition applications being developed using DL techniques need large amounts of computational power to process large amounts of data.