Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Aug 19, 2020 • 1h 8min

393: The Importance of Keeping Science in Data Science

John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient.In this episode you will learn: John’s move from Canada to the US [3:37] John’s new position at Oracle [8:31] Data Science Workflows [9:34] John’s solution to data science workflow exploration [12:06] John’s data science design thinking framework [21:20] Case study [34:21] Literate statistical programming [43:12] R or Python? [51:55] Data unit testing [53:28] What drives John? [1:00:56] Additional materials: www.superdatascience.com/393
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Aug 14, 2020 • 13min

392: Start Your Own Morning Ritual

In this episode, I describe my morning ritual and discuss the importance of setting up a morning ritual for yourself.Additional materials: www.superdatascience.com/392
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Aug 12, 2020 • 1h 51min

391: Data Science Campfire Tales with John Elder

John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles. In this episode you will learn: John’s first bungee jump [4:01] Calculus and newer approaches [14:01] Elder Research [21:11] Domain knowledge advice [25:26] The importance of instincts [41:52] Ensembles and simplicity [59:33] John’s opinions on neural nets [1:10:49] Target shuffling method [1:17:27] What does the future of data science hold? [1:39:53] Additional materials: www.superdatascience.com/391
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Aug 7, 2020 • 11min

390: Perception vs. Emotion

In this episode, I share a tip I came across this week about avoiding conflict in interpersonal relationships.Additional materials: www.superdatascience.com/390
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Aug 5, 2020 • 1h 5min

389: Becoming Good Enough: Jumpstarting Your Data Science Career

Josh Hortaleza discusses how he’s become a juggernaut of an aspiring data scientist and powered through networking and internships to reach his goals in the field.In this episode you will learn: How did Kirill and Josh meet [8:26] Who is Josh? [12:42] Josh’s first internships [17:07] Being “good enough” and the luck factor [34:51] Josh’s goal [40:55] Genuine networking [43:08] Additional materials: www.superdatascience.com/389
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Jul 31, 2020 • 7min

388: Get a Headhunter

In this episode, I share an awesome tip for anyone at any level around recruitment and headhunters.Additional materials: www.superdatascience.com/388
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Jul 29, 2020 • 34min

387: Becoming a Data Science Leader

Lillian Pierson discusses her work on data leadership and how any data scientist can become a data leader in their organization or community.In this episode you will learn: Who is Lillian Pierson? [3:27] Winning With Data [6:08] Four superpowers of great data leaders [11:53] Benefits of developing these skills [17:27] Examples of quick win challenges in Winning With Data [19:34] Impact of COVID-19 [22:23] Where is the industry going? [28:26] Additional materials: www.superdatascience.com/387
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Jul 24, 2020 • 10min

386: Cohort Analysis

Today, I explain cohort analysis and how this can be used for conversion metrics and tracking the customer journey.Additional materials: www.superdatascience.com/386
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Jul 22, 2020 • 1h 18min

385: Advanced Data Topics and People-Centered Data Science

T. Scott Clendaniel joins to discuss advanced topics in data science and his forecasts for the future in this field. He also talks about the importance of soft skills for data scientists.In this episode you will learn: Who is Scott Clendaniel? [6:57] Scott’s role at Franklin Templeton [10:24] LinkedIn advanced Q&A [13:29] Tools that Scott uses the most [26:57] Target mean encoding technique [30:35] LinkedIn Q&A on models [33:11] LinkedIn Q&A on soft skills [54:04] LinkedIn Q&A on forecasts for the future [01:00:19] Hub and spoke model in Data Science Management [01:08:32] Scott’s advice for advanced data scientists [01:10:12] Additional materials: www.superdatascience.com/385
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Jul 17, 2020 • 20min

384: 10 Tips to Become a Master Presenter

Today, I discuss best practices for data visualization and how to build on what we learned about cognitive load.Additional materials: www.superdatascience.com/384

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