From the course: Mistakes to Avoid in Machine Learning

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Giving overly technical presentations

Giving overly technical presentations

From the course: Mistakes to Avoid in Machine Learning

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Giving overly technical presentations

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- In my opinion, one of the single greatest differentiators in the data science field is the ability to toggle between a highly technical and quantitative mindset and a communicative and customer oriented mindset. Obviously, the technical comes first in this field. But when it comes time to showcase the great work that you've done, the technical approach could hold you back. I want you to become an expert in the art of storytelling, so you can avoid being overly technical with a non-technical audience. Here are a few ways you can truly engage others in your work. First as a general rule, don't show your code. Maybe you can briefly show your code to convey just how much work you did, but never go line by line and stick to summaries of your results. Instead, lean on data visualizations as much as possible to communicate your findings. For example, a distplot is a great way to show the distribution of predicted…

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