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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:
    376: Expose Yourself to New Ideas Regularly Jun 19, 2020
    Show notes

    In this FiveMinuteFriday, I talk about the need to widen your horizons, expose yourself to more varied disciplines and thought processes, and the benefits you can get in your work from doing this.


    Additional materials: www.superdatascience.com/376


    375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer Jun 17, 2020
    Show notes

    Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.


    In this episode you will learn:

    • Will we have cloud-based solutions for VR and working from home? [8:15]
    • Greg’s career journey [11:50]
    • From Hadoop to Cloud [23:35]
    • The cloud element in data science [30:17]
    • Data science and AI in Oracle [33:00]
    • Is Oracle more suited for larger companies only? [37:35]
    • Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12]
    • Trends in data science and data management [45:14]
    • Why should someone choose Oracle over any other open source? [52:50]
    • How does the future of data management look like? [56:00]
    • 5G and edge computing [1:01:36]
    • Greg’s recommendation to data scientists [1:04:28]


    Additional materials: www.superdatascience.com/375


    374: Remember to Wind Down Jun 12, 2020
    Show notes

    In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.


    Additional materials: www.superdatascience.com/374


    373: TensorFlow and AI Learnings for Developers Jun 10, 2020
    Show notes

    Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background.


    In this episode you will learn:

    • Who is Laurence Moroney? [4:14]
    • The importance of developers' focus on AI [8:21]
    • What is TensorFlow and how can it help in AI? [15:53]
    • Differences in TensorFlow editions [26:26]
    • Careers and overcoming the fear of AI [31:14]
    • TensorFlow community [48:46]
    • What does the future look like? [54:40]


    Additional materials: www.superdatascience.com/373


    372: Understanding the P-Value Jun 05, 2020
    Show notes

    Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance.


    Additional materials: www.superdatascience.com/372


    371: The Power of Memory For Productivity Jun 03, 2020
    Show notes

    Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives.


    In this episode you will learn:

    • Anthony’s technique for memorizing names [12:04]
    • Anthony’s new book and concept of memory [15:45]
    • Memory and productivity insights [31:44]
    • Memory palace construction methods [37:30]
    • How can memory techniques help a data scientist [1:01:30]
    • Challenge frustration curve [1:07:28]
    • Further advice and learnings [1:11:59]


    Additional materials: www.superdatascience.com/371


    370: What is Support Vector Regression (SVR)? May 29, 2020
    Show notes

    In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids.


    Additional materials: www.superdatascience.com/370


    369: Real Data Analytics for Economics, HR, and COVID-19 May 27, 2020
    Show notes

    John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic.


    In this episode you will learn:

    • Living and working in Washington D.C. [4:11]
    • John’s initial jobs before Edgeworth [8:41]
    • Edgeworth's core values [12:01]
    • Edgeworth Economics and Edgeworth Analytics case studies [16:57]
    • Data analytics vs. data science [29:50]
    • Parachuting into industries [36:06]
    • Real analytics vs. “lip service” [42:11]
    • HR business analytics [51:13]
    • How much, as a business owner, should you rely on a consultant? [56:26]
    • John’s advice to worried business owners [59:24]


    Additional materials: www.superdatascience.com/369


    368: Future-Proof Your Career May 22, 2020
    Show notes

    Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future.


    Additional materials: www.superdatascience.com/368


    367: Building Data Pipelines for COVID-19 Modeling May 20, 2020
    Show notes

    Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.


    In this episode you will learn:

    • Sam’s current work and COVID-19 Critical Care Consortium [4:22]
    • The COVID data science pipeline and workflow [12:50]
    • Sam’s second online course [36:22]
    • Bayesian inference [43:06]
    • Sam at DSGO Virtual [53:30]
    • Sam’s work on dark matter [1:01:25]
    • What is Sam reading right now? [1:09:14]


    Additional materials: www.superdatascience.com/367


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