• Super Data Science: ML & AI Podcast with Jon Krohn

  • De: Jon Krohn
  • Podcast

Super Data Science: ML & AI Podcast with Jon Krohn

De: Jon Krohn
  • Sumário

  • 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.
    © 2024 Super Data Science: ML & AI Podcast with Jon Krohn
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Episódios
  • 820: OpenAI's o1 "Strawberry" Models
    Sep 20 2024
    Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI. Additional materials: www.superdatascience.com/820  Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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    27 minutos
  • 819: PyTorch: From Zero to Hero, with Luka Anicin
    Sep 17 2024
    SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project. This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • About the PyTorch library [03:29] • Why PyTorch became so popular [25:24] • How to increase accuracy and efficiency in PyTorch [31:49] • How to utilize transfer learning [35:44] • Why real-world projects are essential to data scientists [41:10] • About Datablooz [46:49] Additional materials: www.superdatascience.com/819
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    1 hora e 6 minutos
  • 818: In Case You Missed It in August 2024
    Sep 13 2024
    Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks. Additional materials: www.superdatascience.com/818  Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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    30 minutos
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