Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Dec 7, 2018 • 13min

216: Data Science In Healthcare

What do you think is the most significant application of data science in the healthcare industry so far?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/216
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Dec 6, 2018 • 1h 7min

215: Integrating Data Science as a Developer

In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/215
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Nov 30, 2018 • 5min

214: What Is Amazing In Your Life

The podcast discusses how our brains are wired to focus on the negative and how the media exploits this. It encourages listeners to find positivity and gratitude in their lives to overcome negativity and start each day with energy.
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Nov 29, 2018 • 46min

213: Amazing Tips from Two Legends of Visualization

Legends of visualization, Andy Kriebel and Eva Murray, discuss the importance of visualization for data scientists and machine learning experts. They share amazing tips from their new book, MakeoverMonday, and talk about the impact of their visualizations on the community. They also emphasize the significance of effective communication, storytelling, and iteration in visualization.
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Nov 23, 2018 • 8min

212: Model Driven Vs Data Driven

Explore the shift to model-driven businesses and their use of algorithms, closed-loop data, and continuous model improvement. Learn about the distinctions between data-driven and model-driven businesses and how companies like Netflix, Amazon, Google, and Facebook leverage models for a competitive edge.
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Nov 22, 2018 • 1h 2min

211: Working on Apache Spark & R Package Development

In this episode of the SuperDataScience Podcast, I chat with the software engineer at RStudio, Javier Luraschi, who has ton of passion for RStudio and developing packages, Apache Spark, Big Data and Big Compute. You will learn about Big Data and the whole history of Big Data, about Apache Spark, why it was created, what is used for, how it compares with Hadoop, how it’s developed through the time and how it’s developing now. You will also hear about package development in RStudio and some exciting things happening in that space.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/211
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Nov 16, 2018 • 8min

210: Compete With Yourself

What area in your life do you think you’ve plateaued? What will you do to level up your game in this area?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/210
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Nov 15, 2018 • 1h 9min

SDS 209: Full-Time Data Scientist after just 1 year in the field

In this episode of the SuperDataScience Podcast, I chat with the aspiring Data Scientist, Rio Branham, who now has a full-time job as a data scientist after just 1 year in the field. You will learn about the difference between data science and econometrics, what kind of tools and techniques Rio uses and what his aspirations are. You will also hear about Rio’s approach to learning which together with Rio's mindset, make this a very inspirational podcast episode. Rio makes a reckless commitment for 2019 right on this podcast.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/209
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Nov 9, 2018 • 6min

208: Re-live DSGO2018

What talk are you particularly looking forward to listening to again?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/208
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Nov 8, 2018 • 1h 6min

207: The Technical Skills that Actually Add Business Value

In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Data Science Podcast Co-Host and future Data Science Author, Kristen Kehrer. You will hear Kristen's valuable tips about using different data science tools, especially R and Python and how they complement each other, you will learn about the technical skills that actually add business value and you'll hear valuable tips on how to better structure your resume.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/207

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