Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Feb 9, 2017 • 6min

026: Sweat Every Day

This podcast explores the importance of incorporating daily exercise to sweat for data scientists' health and productivity. It discusses the benefits of sweating like relieving pain, stabilizing mood, preventing health issues, and enhancing sleep quality.
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Feb 8, 2017 • 1h 3min

025: Women in STEM, Bench Science to Data Science and Data and Medical Ethics w/ Kimberly Deas

Kimberly Deas, a Data Analyst, discusses women in STEM, transitioning from bench science to data science in public health, empowering minorities in STEM, importance of mentors in data science, utilizing Tableau for data visualization in medical research, addressing health disparities in HIV through data science, and exploring the intersection of medicine and data science.
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Feb 3, 2017 • 5min

024: "What are you passionate about?"

Discover how exploring minimalism and passion can enrich connections with others and lead to more meaningful conversations.
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Feb 1, 2017 • 1h 4min

023: Data in Marketing, Statistical Significance and Management and Career Advice

Marketing Expert Sam Flegal shares insights on data in marketing, statistical significance, and management & career advice. Topics include setting up data points, data-driven decision-making, balancing analytics & marketing, efficient data analysis & visualization, understanding statistical significance, transitioning from support rep to marketing expert, and career advancement in data science.
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Jan 27, 2017 • 10min

022: Seoi Pei - The Skin of Water

Discussing the differences between our presented and true selves, exploring the concept of soy pei and authenticity through a story about Cantonese culture.
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Jan 25, 2017 • 59min

021: Applications of Data Science, Democratizing AI and Advice with Sinan Ozdemir

In this episode of the SuperDataScience Podcast, I chat with Data Science Author Sinan Ozdemir. You will learn the different applications of data science, advance your knowledge in democratizing AI and hear advices that will help the learners of data science.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/21
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Jan 19, 2017 • 1h 10min

020: Generation Z Insights, Data Privacy and SQL and Database Design with Ilya Eremenko

Guest Ilya Eremenko shares insights on Generation Z, data privacy, SQL, and database design. They discuss Gen Z perspectives on data privacy, the importance of learning SQL, data handling techniques, and the evolving hiring process in IT fields.
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Jan 12, 2017 • 58min

019: Government Work, Revisiting Left Brain/Right Brain and Artistic Thinking with Ot

Business Analyst Ot Ratsaphong discusses the use of data science in government work, including enhancing services for veterans. The episode explores career transitions from art school to government IT, highlights the appeal of government projects in Canberra, and emphasizes the significance of governments investing in data science for improved efficiency and service accessibility. Ot also shares insights on balancing left brain and right brain thinking in data science and how creativity benefits problem-solving in business challenges.
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Jan 5, 2017 • 60min

018: 20 Years in Data Analytics, Entrepreneurship, and Megatrends in Data with Jen Underwood

Analytics Industry Expert Jen Underwood discusses 6 megatrends in data, entrepreneurship insights, and her 20 years of experience. Topics include virtual reality in various industries, trends like digital business transformation and intelligent analytics, and the importance of ethics in data science. The discussion also covers IoT data trends, technological advancements, and the significance of strategic data preparation.
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Dec 30, 2016 • 1h 6min

017: Partitioning, Roles in Database Infrastructure and SQL Databases with Colin Sloss

Colin Sloss, Data Engineer, talks about horizontal partitioning at Skype, roles in database infrastructure, and types of SQL databases. Topics include data pipelines, Python's role, evolving programming languages, analyzing server logs on AWS, Carrot Insights expansion, database roles comparison, and the impact of databases on industries.

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