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.
Blockchain AI, or Future Data Systems Must Be Built Differently
Engineering For Data Science
This talk will discuss Docker as a tool for the data scientist.
Introduction to Machine Learning
This talk gives a general introduction to machine learning, as well as introduces practical tools for you to apply machine learning in your research.
Enter the Matrix: Unsupervised feature learning with matrix decomposition to discover hidden knowledge in high dimensional data
Deep Learning in Real-Time
We will take a tour of different DL algorithms and applications, learn how different DL models are built, and see how to deploy DL models for real-time processing with SAS technology.
Mapping the Global Supply Chain Graph