Machine Learning Times
Machine Learning Times
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Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...
Podcast: Why Deep Learning Could Expedite the Next AI Winter
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Deep Learning...
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6 years ago
Data Story Telling: Bringing Life to Your Data

 There is no doubt that a successful Data Scientist must be proficient in programming, modeling, and data munging (extracting, cleaning, and feature engineering data).  However, there is another key skill that is often overlooked:  the ability to communicate findings clearly and effectively. If you as a Data Scientist cannot motivate the business buy-in to effect change, your powerful model will collect dust on a shelf.  Stakeholders will only trust your model if they understand the value it adds, what has been done to create it, and why it works.  They should not be left to trust you and

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