Learn data science best practices.


Joe HahnJanuary 30, 2019

Predictive Maintenance for Upstream Oil and Gas

Oracle Data Scientist Joe Hahn presents a toy-model simulation to assess a predictive maintenance strategy that can be applied to upstream oil and gas.

Sebastian NeubauerJanuary 28, 2019

Why Is It so Hard to Put Data Science in Production?

Is data science helping your company build the systems that automate operational decisions? If not, Senior Data Scientist Sebastian Neubauer believes that adopting a DevOps mentality in your data...

Mats StellwallJanuary 24, 2019

Overview of Traditional Machine Learning Techniques

Oracle Data Scientist Mats Stellwall goes over four techniques that are considered traditional machine learning, including clustering, classification, regression, and market basket analysis.

Manish BhogeJanuary 23, 2019

Using the Artificial Neural Network for Credit Risk Management

Oracle Financial Software Services Solution Architect Manish Bhoge introduces the Artificial Neural Network and how it can used in credit risk analysis.

Shashank Shekhar RaiJanuary 17, 2019

5 Data Cleaning Tips to Test Assumptions

In this post, machine learning practitioner Shashank Shekhr Rai offers five tips that any data scientist or analyst can use as data checks and a way to second guess any assumptions that may creep...

Gyasi DapaaJanuary 16, 2019

Target Twisted: Avoid Creating Biases in Loss Cost Modeling

Actuarial rate-making thought leader Gyasi Kwabena Dapaa explains why actuarial trend rates are not suitable for trending target loss variables of insurance predictive models.

Vikram ReddyJanuary 14, 2019

A Business Perspective to Designing an Enterprise-Level Data Science Pipeline

Oracle Senior Data Scientist Vikram Reddy walks through a case study and illustrates key things to keep in mind when designing a data science pipeline.

Mayank MishraJanuary 10, 2019

Computer Vision in Artificial Intelligence

Infostretch Data Scientist Mayank Mishra gives an introduction to computer vision and the Convolutional Neural Network.

Mischa FisherJanuary 9, 2019

10 Common Data Science Pitfalls to Avoid

Chief Economist Mischa Fisher takes his role in overseeing several Illinois state agencies and shares the ten common data science pitfalls that are universal to every data practice.

DataScience StaffJanuary 9, 2019

Data Science Concepts From A to Z: A Quickstart Guide for Non-Technical Professionals

Beyond technical challenges, misalignment between data science and business teams is one of the most common reasons data projects fail. Learn the lingo of data science — and improve outcomes — with...