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    Business

    Super Data Science: ML & AI Podcast with Jon Krohn

    The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there’s an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

    Whether you’re curious about getting started in a data career or you’re a deep technical expert, whether you’d like to understand what A.I. is or you’d like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

    We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

    Advertise

    Copyright: © 2024 Super Data Science: ML & AI Podcast with Jon Krohn

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    386: Cohort Analysis Jul 24, 2020
    Show notes

    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


    385: Advanced Data Topics and People-Centered Data Science Jul 22, 2020
    Show notes

    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


    384: 10 Tips to Become a Master Presenter Jul 17, 2020
    Show notes

    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


    383: You're Not an Imposter, You're Learning: Data Science Journeys Jul 15, 2020
    Show notes

    Sean Casey joins to discuss his data science journey and how he’s used online courses, secondary resources, and the wider network to help his journey to a data visualization professional.


    In this episode you will learn:

    • How Sean and Kirill met at DSGO Virtual [4:25]
    • Sean’s experience at the virtual event [7:32]
    • Sean’s journey [10:06]
    • Do you need the credibility of a degree? [22:01]
    • Sean’s supplemental readings [24:33]
    • What can others do to replicate Sean’s success? [39:18]
    • Sean’s advice for others just starting [50:15]


    Additional materials: www.superdatascience.com/383


    382: Manage Cognitive Load in Data Science Jul 10, 2020
    Show notes

    Today, I discussed the types of cognitive load and how to best utilize them when imparting information through data.


    Additional materials: www.superdatascience.com/382


    381: How to Avoid Failing at Digital Transformation Jul 08, 2020
    Show notes

    Tony Saldanha joins the podcast to discuss the realities of digital transformation and the steps companies must take to successfully transform in this fourth industrial revolution.


    In this episode you will learn:

    • Tony’s book on digital transformation [2:51]
    • What is digital transformation [8:30]
    • Five stage framework of going through digital transformation [11:13]
    • Case studies through the stages [16:43]
    • Why do digital transformations fail? [27:26]
    • VC portfolio approach [31:21]
    • Tony’s consulting work and top tips [40:11]
    • Change management and COVID-19 [44:44]
    • Disruption vs. digital transformation [51:14]
    • What does the future hold? [53:50]


    Additional materials: www.superdatascience.com/381


    380: Data Analyst vs. Data Scientist Jul 03, 2020
    Show notes

    Today, I discuss the difference between a data analyst and data scientist and how you can join our team as a potential data analyst.


    Additional materials: www.superdatascience.com/380


    379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path Jul 01, 2020
    Show notes

    Christopher Bishop speaks on the importance of career tactics in data science and how to prepare and move through the career path you want.


    In this episode you will learn:

    • Who is Christopher Bishop? [5:18]
    • How Christopher developed his advising framework [9:17]
    • Why data scientists? [12:07]
    • What is the Future Career Toolkit? [15:54]
    • How to connect with people as an unknown data scientist [34:09]
    • What's the intended outcome of the framework? [43:53]


    Additional materials: www.superdatascience.com/379


    378: Use Your Unconscious Mind Jun 26, 2020
    Show notes

    In this episode, I talk about the importance of the unconscious mind in decision making and how logic and reasoning may sometimes hinder you.


    Additional materials: www.superdatascience.com/378


    377: The Power of Women in STEM Jun 24, 2020
    Show notes

    Deborah Berebichez joins us to discuss her experience as a woman in STEM, her work with upcoming generations of women in STEM, and how she helps facilitate data science trainings.


    In this episode you will learn:

    • Deborah's origins [4:21]
    • Pursuing physics as a Jewish-Mexican woman [9:43]
    • Deborah's work in helping women in STEM [23:10]
    • How can companies also aid women in STEM? [28:10]
    • How can individual data scientists work on creative thinking? [44:31]
    • Deborah's work at Metis [48:26]
    • Data literacy done the right way [1:00:33]
    • The future of data science [1:04:55]


    Additional materials: www.superdatascience.com/377


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