Writing your First Testing Suite with pytest for your Machine Learning Model
We’ve all heard that we should be testing our Machine Learning models in production and getting good test coverage. This talk will give an overview of 4 types of tests…..
How to Succeed With AI projects
In this discussion, we will explore the best practices for successful AI project launch and provide specific guidance on how to successfully implement AI projects within your organization.
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… …
