Diaries of a Data Scientist  Por  arte de portada

Diaries of a Data Scientist

De: Jasmin and Kate
  • Resumen

  • Step into DODS with Kate & Jasmin, BASF data scientists, delving into data science & tech. From mentoring and tech interviews to global Artificial Intelligence (AI) and Machine Learning (ML) trends. 🎧 Youtube https: https://www.youtube.com/@DiariesOfADataScie 🎧 Apple Podcast: https://podcasts.apple.com/de/podcast/diaries-of-a-data-scientist/id1710961657 💻 Our Website: https://diariesods.carrd.co Kate's LinkedIn Profile: https://www.linkedin.com/in/kate-nazarova-data-science/ Jasmin's LinkedIn Profile: https://www.linkedin.com/in/jasmin-weimüller-bsc2018
    Jasmin and Kate
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Episodios
  • #18 Imposter Syndrome in Tech - DODS
    Jul 21 2024

    “𝗜 𝗔𝗺 𝗡𝗼𝘁 𝗚𝗼𝗼𝗱 𝗘𝗻𝗼𝘂𝗴𝗵” …


    You’re not alone. 𝘐𝘮𝘱𝘰𝘴𝘵𝘦𝘳 𝘴𝘺𝘯𝘥𝘳𝘰𝘮𝘦 is a silent struggle for many, especially in the fast-paced 𝘵𝘦𝘤𝘩 𝘸𝘰𝘳𝘭𝘥. In our 18th episode "𝗜𝗺𝗽𝗼𝘀𝘁𝗲𝗿 𝗦𝘆𝗻𝗱𝗿𝗼𝗺𝗲 𝗶𝗻 𝗧𝗲𝗰𝗵”, we dive deep into this phenomenon, sharing insights, our stories and strategies to overcome it (based on our experience).


    If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️

    #datascience #dods #diariesofadatascientist #aicommunity

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    1 h y 9 m
  • #17 Bonus Episode. Speaking @ Frankfurt Tech 2024 - DODS
    Jun 23 2024

    Tune in for our 17th Episode of “Diaries of a Data Scientist”, a bonus episode, where we share our honest summary on our talk at the Frankfurt Tech Show, 23rd of May. We were representing BASF at the Big Data & AI World Show.

    If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️

    #datascience #dods #diariesofadatascientist #aicommunity

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    36 m
  • #16 How to stay connected to academia & research while in corporate data science - DODS
    Jun 9 2024

    Did you know? n the past year, 76% of graduating North American PhDs in AI went into industry — up from 44.4% in 2010. This shift highlights the increasingly significant role industry is playing in AI development. By 2023, industry produced 51 notable machine learning models, while academia contributed only 15. 🤯 (Statistics from the AI Index Report, 2024, Stanford)

    In this episode, we explore💡:

    1️⃣ The Importance of Collaboration: Discover why it's crucial for data scientists in corporate roles to collaborate with universities and the immense benefits these partnerships can bring.

    2️⃣ How to Start Collaborations: We share practical ways and channels to initiate and foster collaborations between industry and academia.

    3️⃣ The Downsides: We don't shy away from discussing the challenges and downsides of balancing research and corporate responsibilities as a data scientist.

    If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️

    #datascience #dods #diariesofadatascientist #aicommunity

    🖇️ Useful links (unpaid advertisement, personal recommendations)::

    1. AI Index Report by Stanford, 2024: https://aiindex.stanford.edu/wp-content/uploads/2024/05/HAI_AI-Index-Report-2024.pdf
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    42 m

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