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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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Time Series Deep Learning, Part 2: Predicting Sunspot Frequency with Keras LSTM In R

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...

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Data Science For Business Tutorial: Using Machine Learning With LIME To Understand Employee Churn

Data Science For Business Tutorial: Using Machine Learning With LIME To Understand Employee Churn

Data science tools are getting better and better, which is improving the predictive performance of machine learning models in business. With new, high-performance tools like, H2O for automated machine learning and Keras for deep learning, the performance of models are increasing tremendously. There’s one catch: Complex models are unexplainable… that is until LIME came along! LIME, which stands for...

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Information Security: Anomaly Detection and Threat Hunting with Anomalize

Information Security: Anomaly Detection and Threat Hunting with Anomalize

Information Security (InfoSec) is critical to a business. For those new to InfoSec, it is the state of being protected against the unauthorized use of information, especially electronic data. A single malicious threat can cause massive damage to a firm, large or small. It’s this reason when I (Matt Dancho) saw Russ McRee’s article, “Anomaly Detection & Threat Hunting...

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Algorithmic Trading: Using Quantopian’s Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

Algorithmic Trading: Using Quantopian’s Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

We are ready to demo our new new experimental package for Algorithmic Trading, flyingfox, which uses reticulate to to bring Quantopian’s open source algorithmic trading Python library, Zipline, to R. The flyingfox library is part of our NEW Business Science Labs innovation lab, which is dedicated to bringing experimental packages to our followers early on so they can test...

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Data Science For Business: Course Launch In 5 Days!!!

Data Science For Business: Course Launch In 5 Days!!!

Last November, our data science team embarked on a journey to build the ultimate Data Science For Business (DS4B) learning platform. We saw a problem: A gap exists in organizations between the data science team and the business. To bridge this gap, we’ve created Business Science University, an online learning platform that teaches DS4B, using high-end machine learning algorithms,...

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Time Series Deep Learning: Forecasting Sunspots With Keras Stateful LSTM In R

Time Series Deep Learning: Forecasting Sunspots With Keras Stateful LSTM In R

Time series prediction (forecasting) has experienced dramatic improvements in predictive accuracy as a result of the data science machine learning and deep learning evolution. As these ML/DL tools have evolved, businesses and financial institutions are now able to forecast better by applying these new technologies to solve old problems. In this article, we showcase the use of a special...

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anomalize: Tidy Anomaly Detection

anomalize: Tidy Anomaly Detection

We recently had an awesome opportunity to work with a great client that asked Business Science to build an open source anomaly detection algorithm that suited their needs. The business goal was to accurately detect anomalies for various marketing data consisting of website actions and marketing feedback spanning thousands of time series across multiple customers and web sources. Enter...

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