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!
Live Webinar: How to Apply H1B in 2019 under New Policies
我们邀请了律师事务所 Song&Meng PC 与数据应用学院 Data Application Lab 一起为大家做 2019 年 H1B 问题的最全面解答！
Data Virtualization for Any Stack in Any Cloud
Alluxio is an open-source virtual distributed file system provides a unified data access layer for big data and ML stack, fitting hybrid and multi-cloud environment. This presentation focuses on how Alluxio helps the big data and ML stack to be cloud-native.
Where AI meets Food Packaging and Freight Logistics
Top 5 areas Data Science techniques can be applied in enabling companies to bring the freshest food to the customer.
