The Convergence of AI, Machine Learning, Blockchain and IoT
How do Blockchain (not Cryptocurrency), IoT – the Internet of Things and Artificial Intelligence/Machine Learning relate and why? What is driving the convergence of these technologies? What should you know to prepare yourself to drive the impact these technologies will make on the future?
Game Theory is an Underlining Aspect Blockchains
Dr. Darren Tapp will explain why he believes the Game Theory is one of the most important properties of a blockchain.
Machine learning on IBM Cloud
In this talk, we will cover machine learning on IBM cloud and how to train and serve model everywhere cross-cloud AWS, Azure and Google cloud.
Feature Engineering for Hyper-Dimensional Decision Surfaces
This presentation is appropriate for quantitative analysts who work in engineering, finance, healthcare, pharmacology, manufacturing, retailing, distribution, and logistics.
Build Optimal Models in AI & Machine Learning: Overcome the Lack of Diversity
This webinar will present the practicalities of the lack of diversity in data science (specifically the lack of women, women of color, & non-white/non-Asian men & the lack of professionals from lower & working class backgrounds) & how precisely this affects the model building. Join us to learn how to overcome these challenges to build optimal models!
