Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Jul 20, 2018 • 7min

176: The Importance of Storytelling in Data Science

Have you ever tried conveying facts to anyone by telling them as a story? How did it work?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/176
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Jul 18, 2018 • 53min

175: Insights from the Founder of KDnuggets

In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the noticeable growing trend of automation in the field of data science.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/175
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Jul 13, 2018 • 3min

174: A Technology Detox Challenge

When was the last time that you disconnected from technology?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/174
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Jul 11, 2018 • 1h 8min

173: Understanding Robotics Process Automation (RPA) to Disrupt Your Business

In this episode of the SuperDataScience Podcast, I chat with the founders of Cigen, Leigh and Daniel Pullen. You will listen to an overview of RPA or Robotics Process Automation, hear what it’s all about, how it works, how business gets value from it, and also how people can learn this and integrate it into their careers. You will learn the different RPA tools or global tools that any business can use across any application. Also, you will know the concept of Robots-for-Hire and how it is valuable for entrepreneurs.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/173
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Jul 6, 2018 • 8min

172: Why You Need to Go Beyond the Data

In what past situation do you think you could have gone beyond the data?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/172
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Jul 4, 2018 • 1h 13min

171: Deep dive into R Programming & R Studio

In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will hear about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and learn about analytics infrastructure & how this can be used in the data lab and the production environment.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/171
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Jun 29, 2018 • 7min

170: Tips for a Bumpy Ride

What are the goals you will accomplish for the week?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/170
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Jun 27, 2018 • 1h 7min

169: Data Science: Technology and Philanthropy

In this episode of the SuperDataScience Podcast, I chat with the CEO, Founder and AI Neuroscience Researcher, Tarry Singh. You will hear about the three essential components of businesses, learn the 5 main steps to excel in Deep Learning, and hear how Machine Learning, Artificial Intelligence and Deep Learning could drastically change the economic status of third-world countries.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/169
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Jun 22, 2018 • 4min

168: Focus on Your Strengths and Ignore Your Weaknesses

What are your strengths and what are some of your weaknesses that you can totally ignore and still become successful?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/168
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Jun 20, 2018 • 1h 1min

167: Why All Companies Need a Data Science Culture

In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Data Society, Nisha Iyer. You will hear how members of an organization or company benefit more when they are adept with data, learn how attending hands-on trainings could magnify your data science learning experience, and learn how communication and hospitality skills are important and helpful in your data science career.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/167

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