3D Machine Learning tutorial: How to develop a Semantic Segmentation Framework for 3D LiDAR Point Cloud Data. © F. Poux.

Last week, we had Machine Learning 101: Hype or Reality. In this meetup we will do a deep dive into the Machine Learning features of Watson Studio - IBM's Data Science Platform. We will demonstrate in form of a live demo how data can be accessed & explored and how a Machine Learning Model can be build & deployed. For building and deployment we will be using several analytical tools: Jupyter notebook, SPSS Flows, Auto AI, Watson Machine Learning. By using Webex you are free to register using an alias, to mute yourself and to switch on/off the camera option at your disposal.

Advances in applied machine learning fueled our enthusiasm for smarter, more talkative devices. It impacted how we learned about and processed the news--and fake news--of the national elections. Automation grew in sophistication: detecting financial fraud, improving healthcare, deepening business intelligence, and disrupting human work models. While significant flux continues, the fact is that machine learning is now firmly established in business technology. Some obvious big data categories are already dominated, but you need only ingenuity to start putting machine learning insights to new and quantifiable uses.