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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:
    406: Abandon Hope Oct 02, 2020
    Show notes

    Today we discussed the Buddhist concept “abandon hope” as a way to avoid falling victim to negative emotions and fear.


    Additional materials: www.superdatascience.com/406


    405: The Work of Quants and Data Scientists in the Financial Space Sep 30, 2020
    Show notes

    Thomas Obrist joins us to give an advanced talk on the work he does in the financial and energy space as a quant and how it overlaps with data science.


    In this episode you will learn:

    • Thomas’s background and studies [5:04]
    • Long and short in financial markets [8:33]
    • Thomas’s current role at Axpo [14:55]
    • Quant vs. data scientist vs. data analyst [18:55]
    • The Monte Carlo method [26:26]
    • Thomas’s day-to-day [30:06]
    • Grid loss use case [35:25]
    • Thomas’s hackathon success [53:22]
    • Thomas’s recommendation for those interested in the space [1:01:39]


    Additional materials: www.superdatascience.com/405


    404: The Narrative Arc in Storytelling Sep 25, 2020
    Show notes

    Today we dissect the building blocks of storytelling to help you become a better presenter of your data science insights.


    Additional materials: www.superdatascience.com/404


    403: Gamifying Your Data Science Work and Education Sep 23, 2020
    Show notes

    Juan Gabriel Gomila Salas joins for an exciting discussion about his work in the game industry and how gamification can boost data science impact across industries.


    In this episode you will learn:

    • Juan Gabriel’s work before and during COVID-19 [3:37]
    • Juan Gabriel’s unique career path [10:36]
    • Video game monetization case study [25:44]
    • •How can data scientists utilize gamification in their daily jobs? [36:28]
    • Juan Gabriel’s work as a professor [42:46]
    • Is online education the future? [47:40]
    • Data science in the English speaking world vs the Spanish speaking world [52:30]
    • Where is data science headed? [59:45]


    Additional materials: www.superdatascience.com/403


    402: Face Your Demons Sep 18, 2020
    Show notes

    In this episode, I discuss an interesting metaphor I’ve recently utilized to help myself face and overcome toxic or negative feelings.


    Additional materials: www.superdatascience.com/402


    401: From Data Science Student to Professional Sep 16, 2020
    Show notes

    Michael Galarnyk joins to tackle your questions on data science job hunting and data science education.


    In this episode you will learn:

    • Who is Michael Galarnyk? [3:48]
    • Tools and skills to know [11:52]
    • Building and sharing a portfolio [26:21]
    • Advantages of online and in-person education [37:42]
    • Teaching data science to younger students [43:55]
    • Necessary soft skills to be a successful data scientist [51:31]


    Additional materials: www.superdatascience.com/401


    400: Think Bigger Sep 11, 2020
    Show notes

    In this anniversary episode, we discuss the importance of knowing why you do data science and how your skills may one day impact the world as challenges arise.


    Additional materials: www.superdatascience.com/400


    399: Contributing to the Community of Data Scientists Sep 09, 2020
    Show notes

    Monica Royal joins us to discuss her journey from consumer to contributor in the data science community and how sharing your work and exploring networking can help you on your journey.


    In this episode you will learn:

    • Monica’s activity in the data science community [5:17]
    • The biggest takeaways from Monica’s 100 Days of Learnings [11:00]
    • Techniques for productivity and continued learning [16:03]
    • Monica’s interest in the SDS podcast and keeping up to date in data science [33:01]
    • The DataScienceGO Virtual experience [35:51]
    • Strategic thinking [38:38]
    • Monica’s parting inspirational thoughts [41:01]


    Additional materials: www.superdatascience.com/399


    398: Emotional Burnout Sep 04, 2020
    Show notes

    In this episode, I discuss a very important topic on the stages and symptoms of burnout and how to tackle them at each point to avoid irreparable damage.


    Additional materials: www.superdatascience.com/398


    397: The Importance of Data Science Literacy Sep 02, 2020
    Show notes

    We chatted with data science influencer, educator, and principal data scientist Kirk Borne about his philosophy and work in spreading data science literacy across fields and industries through his frameworks.


    In this episode you will learn:

    • Live vs. virtual events [4:20]
    • Who is Kirk Borne? [7:13]
    • Big data’s evolution and the emergence of small data [11:17]
    • The fourth industrial revolution and the future [22:00]
    • How has the data science education space changed in 14 years? [33:44]
    • Four types of data discovery [38:00]
    • The broad categories of AI you should pursue [50:44]
    • 5 levels of analytics maturity [53:50]
    • LinkedIn Q&A [1:05:00]
    • Hiring at Booz Allen [1:15:18]


    Additional materials: www.superdatascience.com/397


    Previous 1 62 63 64 65 66 104 Next

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