Formulating Your Career Path in Data Science
Data science is hot and only getting hotter as companies and individuals scramble to catch the wave. As your career as a data scientist develops, how can you best gain firm footing and attain success when the term is so ill-defined and the field is so quick to evolve?
Best Practices for Data Scientist to protect themselves, their teams, and their customers
If data is the “new gold,” then why is it not treated as valuable? The two AI certainties are, (1) that you will create your AI future, or (2) someone else will create their AI future where you will exist or maybe not exist.
Big Data and Predictive Analysis
Big Data has been popular last 10 years using Hadoop and Spark for data analysis and prediction with large scale data sets in distributed parallel computing systems… …
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!
