In this topic we go much deeper into some of the latest techniques for using Deep Learning for text and time series applications.

Deep learning added a huge boost to the already rapidly developing field of computer vision.

Developing sophisticated machine learning solutions is a difficult task. You start from the bottom up.

In the past decade, machine learning has given us self-driving cars, practical speech recognition, and has vastly improved understanding of the human genome.

In this course we will look at the tools, techniques and types of models that are being used for a variety of products from a product manager’s point of view. These include models such as Structured Data Models, Convolutional Neural Networks, Recurrent Neural Networks and Transformers which have been used extensively inside a variety of companies and organizations for tasks ranging from financial prediction to voice recognition to text analysis.

In this course, we cover both the Deep Learning aspects as well as engineering and DevOps skills required to take models and serve them at scale. This includes both serving models in the cloud, on mobile and on hardware devices.