Data Science With R Course Series - Week 8

    Written by David Curry on November 5, 2018

    Learn everything you need to know about the Expected Value Framework. The Expected Value Framework is way to apply an expected value to a classification model - it connects a machine learning classification model to ROI for the business.

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    Data Science With R Course Series - Week 7

    Written by David Curry on October 29, 2018

    Learn how to explain machine learning models with LIME. LIME stands for Local Interpretable Model-Agnostic Explanations and is used to understand which model features have the most predictive impact.

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    Marketing Analytics and Data Science

    Written by David Curry on October 26, 2018

    This article uses a Kaggle competition as an opportunity to show how data science can be used in digital marketing to answer a specific question, and take what is learned from the data and apply it to marketing strategies.

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    Data Science With R Course Series - Week 5

    Written by David Curry on October 15, 2018

    The culmination of the previous weeks has been preparation for machine learning modeling. At this stage, we have defined the business problem, we’ve explored and understood how the data relates to the business problem, and we’ve preprocessed the data in preparation for modeling.

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    Data Science With R Course Series - Week 3

    Written by Matt Dancho on October 1, 2018

    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 machine-learning powered productivity booster.

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    Data Science With R Course Series - Week 2

    Written by Matt Dancho on September 24, 2018

    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 machine-learning powered productivity booster.

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    Data Science With R Course Series - Week 1

    Written by Matt Dancho on September 20, 2018

    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 friend.

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

    Written by Matt Dancho and Rafael Nicolas Fermin Cota on September 18, 2018

    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 such a task has only recently become mainstream, and second, most data scientists are inexperienced in their respective industries. However, with all the uncertainty surrounding this topic, one hedge fund has managed to navigate through these challenges and accomplish what many companies are failing to do: building a high-performing data science team that achieves real return-on-investment (ROI).

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