Publications by business-science.io - Articles
Time Series Deep Learning, Part 2: Predicting Sunspot Frequency with Keras LSTM In R
One of the ways Deep Learning can be used in business is to improve the accuracy of time series forecasts (prediction). We recently showed how a Long Short Term Memory (LSTM) Models developed with the Keras library in R could be used to take advantage of autocorrelation to predict the next 10 years of monthly Sunspots (a solar phenomenon that’s...
22645 sym R (26019 sym/44 pcs) 32 img
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 ...
21062 sym 22 img
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...
15060 sym 16 img
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 exclu...
7730 sym 10 img
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 r...
24924 sym R (9458 sym/36 pcs) 18 img 1 tbl
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 challenge: Kaggle competitions are performance driven, where a data scientist has months to fine ...
29288 sym R (15385 sym/39 pcs) 18 img 1 tbl
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, several R packages designed to provide this capability are gaining in popularity. We analyze the ...
26178 sym R (12773 sym/52 pcs) 38 img
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 iteration of an agile framework called Business Science Problem Framework (Download PDF here) to imple...
19136 sym 26 img
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 difficult and not well understood. The issue is twofold, first, the necessary technology to complete...
20362 sym 14 img
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 is money, and, in a world where you are measured on productivity and skill, R is your best frien...
7082 sym 16 img