Learn data science best practices.


Nate KlynDecember 10, 2018

An Oracle Data Science Case Study in Telecom

Oracle Data Cloud Senior Data Scientist Nate Klyn shares a solution his team developed to help telecom and mobile device manufacturers better identify prospects for advertising campaigns.

Ben LevineDecember 6, 2018

Character-Based Neural Networks for NLP in the Real World

Oracle Principal Software Engineer Ben Levine presents character-based approaches for real-world text classification problems.

Michael PenroseDecember 5, 2018

Not Just Machine Learning: 3 Lessons Learned Working with Credit Risk Datasets

IT Consultant Michael Penrose goes over three things he learned from using credit risk datasets for automated testing and predictive modeling.

Dylan StoreyDecember 3, 2018

Random Forests, Decision Trees, and Ensemble Methods Explained

Data scientist Dylan Storey goes over how to implement a random forest from the ground up as well as how to train, make a prediction, and compare a random forest to a decision tree.

Ali TafreshiNovember 29, 2018

Lessons From a Canceled Data Science Project

Tatum CIO Engagement Partner and Digital Practice Leader Ali Tafreshi shares some valuable lessons that he learned the hard way from a canceled data science project.

Padmakumar NambiarNovember 26, 2018

How Deep Neural Nets Really Learn

Padmakumar Nambiar, a software development director at Oracle, dives into the field of deep learning and its biggest challenges. Learn how catastrophic forgetting, the tendency of deep learning...

Greg DeVoreNovember 15, 2018

Supervised Learning With Python

Boeing Engineer Greg DeVore gives an introduction to supervised learning in Python, including how to choose the appropriate model for a regression or classification problem, as well as how to...

Levi BrackmanNovember 13, 2018

Enterprise-Level Data Science: Lessons From the Frontlines

BPX Energy Director of Data Science and Analytics Levi Brackman gives a high-level overview of his experiences building an enterprise-level data science and ML/AI capability from the ground up.

Skander HannachiNovember 8, 2018

Decomposition-Based Approaches to Time Series Forecasting

Nordstrom Data Scientist Skander Hannachi walks us through three approaches to forecasting using decomposition with R: Seasonal and Trend decomposition using LOESS, Bayesian structural time series,...

Shyam NathNovember 5, 2018

Applying Industrial Data Science: A Use Case

Oracle Enterprise Cloud Architect Shyam Nath explains how industrial data science can be applied to the Internet of Things such as a passenger aircraft operated by airlines.