Target Leakage in Machine Learning
Keynote: Virginia Eubanks
Webinar - Tuning the untunable: Lessons for tuning expensive deep learning functions
Artificial Intelligence: Challenges and Opportunities
Latest Developments in GANS
Linguistics in NLP: why so complex?
Personality Matters: Transforming Marketing through AI
Data Science for Good Webinar
Workshop: Deep Learning in Finance - An experiment and A reflection
Mission Analytics: Common pitfalls and how to avoid them (A journey in an insurance company)
Using Data for Good
Building an effective AI practice
Interactive data visualization in Python
We will go through python libraries that make this extra development as frictionless as possible, and produce interactive visualizations with as little code as possible.
Recommending the best hotels at TripAdvisor
Solving the Data Scientist's Dilemma - The Cold Start Problem
How can you maximize the data science outcomes, benefits, and applications when faced with the cold start problem?
Knowledge Graphs in Financial Technology – Future or Hype
Applications of Mixed Effects Random Forests
Analyzing Space - Spatial Data Science Methods
Machine Learning Powers Better Decisions in Financial Services
A Breakthrough for Natural Language
Matrix Algorithms at Scale: Randomization and using Alchemist to bridge the Spark-MPI gap
We describe use cases from scientific data analysis that motivated the development of Alchemist and that benefit from this system.
Blockchain and AI, or future data systems must be built differently
Challenges and Opportunities in Applying Machine Learning
Introduction to Python for Data Science
We'll take a closer look at how Python can be leveraged to build effective data science workflows.