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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

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    Latest Episodes:
    416: My Advice for Career Success Nov 06, 2020
    Show notes

    In this episode, I talk about the three key ingredients for a successful, happy career in data science.


    Additional materials: www.superdatascience.com/416


    415: Developing and Maintaining Your Technical and Soft Skills Nov 05, 2020
    Show notes

    Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position.


    In this episode you will learn:

    • Asieh’s background [5:09]
    • Machine learning techniques for processing biosignals [14:24]
    • Signal processing [22:22]
    • Asieh’s career and move from academia to industry [27:19]
    • Maintaining technical skills as a manager [41:48]
    • MassMutual is hiring [47:02]
    • Leading a remote data science team and work/life balance [49:55]
    • Asieh’s words for other women in data science [55:28]
    • Future of data science [1:00:30]


    Additional materials: www.superdatascience.com/415


    414: Needs vs. Wants Oct 30, 2020
    Show notes

    Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that.


    Additional materials: www.superdatascience.com/414


    413: Changing The World With Data Oct 28, 2020
    Show notes

    Emmanuel Letouzé discussed in-depth his work in global data science literacy and how he hopes data science will benefit the world in various societal and socio-economic challenges.


    In this episode you will learn:

    • Parenting and its effects on Emmanuel’s life and work [3:14]
    • Why did Data-Pop Alliance come to life? [8:42]
    • Working with Harvard and MIT [13:04]
    • Examples of projects and areas of focus [18:16]
    • Data as lenses and data as lever [29:43]
    • Sustainable Development Goals indicators [38:21]
    • How can we use data as a lever? [43:41]
    • How can data help with disaster resilience? [57:09]
    • The future of data science [1:04:09]


    Additional materials: www.superdatascience.com/413


    412: Stand More - Sit Less Oct 23, 2020
    Show notes

    Today I talked with a chiropractor about how to best treat your back while working during the day.


    Additional materials: www.superdatascience.com/412


    411: Succeeding in Analytics by Thinking Outside the Data Oct 21, 2020
    Show notes

    Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles.


    In this episode you will learn:

    • Jennifer’s start in data science [6:04]
    • What is analytics support function? [16:01]
    • Keys to success in analytics roles [21:09]
    • How do you find these roles? [42:42]
    • DataScienceGO Virtual #2 [50:45]
    • Common questions Jennifer gets [1:00:52]


    Additional materials: www.superdatascience.com/411


    410: Communicate Your Needs Oct 16, 2020
    Show notes

    Today I talk about something important, which I recently had to reteach myself, about personal needs and communication.


    Additional materials: www.superdatascience.com/410


    409: Succeeding & Networking In The Virtual Space Oct 14, 2020
    Show notes

    Steve Nouri talks with us about the importance of managing your personal brand, participating in hackathons, and being active in the conversations around AI as you begin your career.


    In this episode you will learn:

    • Steve’s work in the Australian Computer Society [4:32]
    • River City Labs [12:22]
    • Hackathons during the pandemic [16:21]
    • Choosing a path in AI [26:09]
    • The AI bubble and its implications [31:09]
    • Strategic data acquisition [38:04]
    • Explainable AI [43:50]
    • Creating a personal brand [51:35]


    Additional materials: www.superdatascience.com/409


    408: Meaning is Everything Oct 09, 2020
    Show notes

    Today I talk about an interesting concept that can often be the cause of conflicts in professional and personal relationships.


    Additional materials: www.superdatascience.com/408


    407: How to Encourage Diversity in Data Science Oct 07, 2020
    Show notes

    Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science.


    In this episode you will learn:

    • Margot’s travels and background [7:29]
    • Margot’s position and work at Stanford [13:38]
    • What is linear algebra? [18:00]
    • Principle component analysis [23:02]
    • WIDS, Women in Data Science [32:08]
    • Margot’s diversity call to action [58:12]
    • How can men support their female colleagues? [1:05:55]


    Additional materials: www.superdatascience.com/407


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