Xiaoxi Wu

Data Scientist

Xiaoxi is an enthusiastic data scientist who is focused on applying advanced machine learning tools to solve business problems. She excels at telling stories from complex data – thanks to the many years of her PhD training.

Xiaoxi contributes to various data science projects and enjoys learning through working. She actively follows the trends of AI, and she is always exploring new algorithms and platforms in search of better results.

Focus Areas:

Forecasting, Machine Learning, Recommendation, Network Visualization, Shiny App

Business Interests:

Artificial Intelligence, Demand Forecasting, E-Marketing

Education:

BS, Chemistry, University of Science and Technology of China

MS, Physical Chemistry, The University of Texas at Austin

PhD, Physical Chemistry, Columbia University

Xiaoxi Wu

Data Scientist

Xiaoxi is an enthusiastic data scientist who is focused on applying advanced machine learning tools to solve business problems. She excels at telling stories from complex data – thanks to the many years of her PhD training.

Xiaoxi contributes to various data science projects and enjoys learning through working. She actively follows the trends of AI, and she is always exploring new algorithms and platforms in search of better results.

Focus Areas:

Forecasting, Machine Learning, Recommendation, Network Visualization, Shiny App

Business Interests:

Artificial Intelligence, Demand Forecasting, E-Marketing

Education:

BS, Chemistry, University of Science and Technology of China

MS, Physical Chemistry, The University of Texas at Austin

PhD, Physical Chemistry, Columbia University

We have taken the latest work-related articles and blog posts that Xiaoxi has been reading and transformed them into an Interest Graph. Now, you can see the ideas that are occupying her mind. It’s an interactive chart so feel free to click on the nodes (circles) or edges (lines between two nodes) to see the related articles. Enjoy!

7 Ways Time-Series Forecasting Differs from Machine Learning

Roman Josue de las Heras Torres
Oracle + Data Science.com
May 29, 2018
Hashtags

#data science, #forecasting, #machine learning

Keywords

fintech, predictive forecasting, time series

Hashtags

#adaptable, #data science, #deep learning, #learning, #tutorial

Keywords

deep learning, recurrent neural networks

Hashtags

#adaptable, #analytics, #data, #market

Keywords

A/B test, analytics, hypothesis