Machine learning (ML) is becoming a significant part of an organization's strategic direction and a critical tool to deliver insights and automation. In this talk, we’ll explore the growing number of open source tools available to leverage ML in languages like Python, Go and others. We’ll dive into the usage of popular packages like Keras and Tensorflow and then walk through integrating and deploying them into a simple application to demonstrate how robust and accessible these tools have become. Learn how both developers and data-scientists can utilize the wide array of high quality, mature open source tools to incorporate and deploy machine-learning algorithms in your next applications.