Blog Archives

Data Science With R Course Series – Week 2

September 24, 2018
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Data Science With R Course Series – Week 2

Data Science and Machine Learning in business begins with R. Why? R is the premier language that enables rapid exploration, modeling, and communication in a way that no other programming language can match: SPEED! This is why you need to learn R. Time ...

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Data Science With R Series – Week 1

September 20, 2018
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Data Science With R Series – Week 1

Data Science and Machine Learning in business begins with R. Why? R is the premier language that enables rapid exploration, modeling, and communication in a way that no other programming language can match: SPEED! This is why you need to learn R. Time ...

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Case Study: How To Build A High Performance Data Science Team

September 18, 2018
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Case Study: How To Build A High Performance Data Science Team

Artificial intelligence (AI) has the potential to change industries across the board, yet few organizations are able to capture its value and realize a real return-on-investment. The reality is that the transition to AI and data driven analysis is diff...

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Agile Framework For Creating An ROI-Driven Data Science Practice

Agile Framework For Creating An ROI-Driven Data Science Practice

Data Science is an amazing field of research that is under active development both from the academia and the industry. One of the saddest facts in the real-world is that most data science projects in organizations fail. Here I’ll present a new iterat...

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IML and H2O: Machine Learning Model Interpretability And Feature Explanation

IML and H2O: Machine Learning Model Interpretability And Feature Explanation

Model interpretability is critical to businesses. If you want to use high performance models (GLM, RF, GBM, Deep Learning, H2O, Keras, xgboost, etc), you need to learn how to explain them. With machine learning interpretability growing in importance, s...

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Kaggle Competition In 30 Minutes: Predict Home Credit Default Risk With R

Kaggle Competition In 30 Minutes: Predict Home Credit Default Risk With R

We were very excited when Home Credit teamed up with Kaggle to host the Home Credit Default Risk Challenge. Default risk is a topic that impacts all financial institutions, one that machine learning can help solve. We decided to flip the goal of this c...

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DALEX and H2O: Machine Learning Model Interpretability And Feature Explanation

DALEX and H2O: Machine Learning Model Interpretability And Feature Explanation

As advanced machine learning algorithms are gaining acceptance across many organizations and domains, machine learning interpretability is growing in importance to help extract insight and clarity regarding how these algorithms are performing and why one prediction is made over another. There are many methodologies to interpret machine learning results (i.e. variable importance via permutation, partial dependence plots, local interpretable...

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Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

The goal is simple: to educate and empower future data scientists so they can help organizations gain data-driven results. This is why it was a no-brainer when the opportunity came up for Business Science to partner with Method Data Science, the go-to data science accelerator for aspiring data scientists. Now Method Data Scientists will get exclusive lectures from Business...

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New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

I’m pleased to announce that we released brand new content for our flagship course, Data Science For Business (DS4B 201). The latest content is focused on transitioning from modeling Employee Churn with H2O and LIME to evaluating our binary classification model using Return-On-Investment (ROI), thus delivering business value. We do this through application of a special tool called the...

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Data Science For Business: 3 Reasons You Need To Learn The Expected Value Framework

Data Science For Business: 3 Reasons You Need To Learn The Expected Value Framework

One of the most difficult and most critical parts of implementing data science in business is quantifying the return-on-investment or ROI. As a data scientist in an organization, it’s of chief importance to show the value that your improvements bring. In this article, we highlight three reasons you need to learn the Expected Value Framework, a framework that connects...

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