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#18  - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís cover
#18  - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís cover
Let's Talk AI

#18 - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís

#18 - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís

59min |09/03/2023
Play
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undefined cover
#18  - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís cover
#18  - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís cover
Let's Talk AI

#18 - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís

#18 - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís

59min |09/03/2023
Play

Description

In this episode, we are excited to receive Serg Masís, a highly accomplished data scientist in agriculture, with a diverse background that includes entrepreneurship, web/app development, and software engineering. He is also the author of the book, "Interpretable Machine Learning with Python," and is passionate about ML interpretability, responsible AI, behavioral economics, and causal inference. As a highly skilled machine learning engineer, Serg has years of experience in putting statistical tools and methods to use in deriving insights from data, and excels at being a visual communicator by nature. He has a solid foundation in computer science and statistics, and offers great advice for pursuing a career in data science that includes continuous learning and strong communication. Serg is someone who is approachable and has a passion for continuous learning and growing in an ever-evolving world of AI - a quality that many young aspiring data scientists can learn from.


Tune in as we deep dive on his diverse background and goals in AI. Serg shares advice on pursuing a career in data science that includes continuous learning, strong communication skills, and a solid foundation in computer science and statistics. He also emphasizes the importance of asking critical questions in problem-solving with machine learning and tailoring solutions that supplement human decision-making. Then we discuss his experience in applying machine learning in the agriculture industry and predicting 3D printer defects and machinery failure. Serg also shares insights into building individualized models and the future of AI, about challenges in building smarter machine learning models, alternative options to quantum computing, and the potential use of biology. Through these episode we also discusses the challenges of addressing biases in generative AI, developing AI models for present, and future needs, democratizing writing with generative AI, and exploring the basic foundations of AI through playful experiments. Finally, Serg shares advice and anecdotes for learning and growing in AI and encourages continuous learning in the ever-evolving world of AI.

We hope that you enjoy this episode, let us know in the comments or by giving the podcast a review. Have a nice day!!


Serg Masís: https://www.linkedin.com/in/smasis/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/


Artistic Direction & Video: Maxence Kerhoas
Content Strategist & Writer: Sidheswar Pothal


Follow Let's Talk AI:
✉️ Newsletter 👉 http://eepurl.com/ijZ8qz
🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/
📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai
📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/
🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/
🌐 Website 👉 https://lets-talk-ai.com/


Hosted by Ausha. See ausha.co/privacy-policy for more information.

Description

In this episode, we are excited to receive Serg Masís, a highly accomplished data scientist in agriculture, with a diverse background that includes entrepreneurship, web/app development, and software engineering. He is also the author of the book, "Interpretable Machine Learning with Python," and is passionate about ML interpretability, responsible AI, behavioral economics, and causal inference. As a highly skilled machine learning engineer, Serg has years of experience in putting statistical tools and methods to use in deriving insights from data, and excels at being a visual communicator by nature. He has a solid foundation in computer science and statistics, and offers great advice for pursuing a career in data science that includes continuous learning and strong communication. Serg is someone who is approachable and has a passion for continuous learning and growing in an ever-evolving world of AI - a quality that many young aspiring data scientists can learn from.


Tune in as we deep dive on his diverse background and goals in AI. Serg shares advice on pursuing a career in data science that includes continuous learning, strong communication skills, and a solid foundation in computer science and statistics. He also emphasizes the importance of asking critical questions in problem-solving with machine learning and tailoring solutions that supplement human decision-making. Then we discuss his experience in applying machine learning in the agriculture industry and predicting 3D printer defects and machinery failure. Serg also shares insights into building individualized models and the future of AI, about challenges in building smarter machine learning models, alternative options to quantum computing, and the potential use of biology. Through these episode we also discusses the challenges of addressing biases in generative AI, developing AI models for present, and future needs, democratizing writing with generative AI, and exploring the basic foundations of AI through playful experiments. Finally, Serg shares advice and anecdotes for learning and growing in AI and encourages continuous learning in the ever-evolving world of AI.

We hope that you enjoy this episode, let us know in the comments or by giving the podcast a review. Have a nice day!!


Serg Masís: https://www.linkedin.com/in/smasis/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/


Artistic Direction & Video: Maxence Kerhoas
Content Strategist & Writer: Sidheswar Pothal


Follow Let's Talk AI:
✉️ Newsletter 👉 http://eepurl.com/ijZ8qz
🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/
📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai
📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/
🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/
🌐 Website 👉 https://lets-talk-ai.com/


Hosted by Ausha. See ausha.co/privacy-policy for more information.

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Description

In this episode, we are excited to receive Serg Masís, a highly accomplished data scientist in agriculture, with a diverse background that includes entrepreneurship, web/app development, and software engineering. He is also the author of the book, "Interpretable Machine Learning with Python," and is passionate about ML interpretability, responsible AI, behavioral economics, and causal inference. As a highly skilled machine learning engineer, Serg has years of experience in putting statistical tools and methods to use in deriving insights from data, and excels at being a visual communicator by nature. He has a solid foundation in computer science and statistics, and offers great advice for pursuing a career in data science that includes continuous learning and strong communication. Serg is someone who is approachable and has a passion for continuous learning and growing in an ever-evolving world of AI - a quality that many young aspiring data scientists can learn from.


Tune in as we deep dive on his diverse background and goals in AI. Serg shares advice on pursuing a career in data science that includes continuous learning, strong communication skills, and a solid foundation in computer science and statistics. He also emphasizes the importance of asking critical questions in problem-solving with machine learning and tailoring solutions that supplement human decision-making. Then we discuss his experience in applying machine learning in the agriculture industry and predicting 3D printer defects and machinery failure. Serg also shares insights into building individualized models and the future of AI, about challenges in building smarter machine learning models, alternative options to quantum computing, and the potential use of biology. Through these episode we also discusses the challenges of addressing biases in generative AI, developing AI models for present, and future needs, democratizing writing with generative AI, and exploring the basic foundations of AI through playful experiments. Finally, Serg shares advice and anecdotes for learning and growing in AI and encourages continuous learning in the ever-evolving world of AI.

We hope that you enjoy this episode, let us know in the comments or by giving the podcast a review. Have a nice day!!


Serg Masís: https://www.linkedin.com/in/smasis/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/


Artistic Direction & Video: Maxence Kerhoas
Content Strategist & Writer: Sidheswar Pothal


Follow Let's Talk AI:
✉️ Newsletter 👉 http://eepurl.com/ijZ8qz
🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/
📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai
📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/
🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/
🌐 Website 👉 https://lets-talk-ai.com/


Hosted by Ausha. See ausha.co/privacy-policy for more information.

Description

In this episode, we are excited to receive Serg Masís, a highly accomplished data scientist in agriculture, with a diverse background that includes entrepreneurship, web/app development, and software engineering. He is also the author of the book, "Interpretable Machine Learning with Python," and is passionate about ML interpretability, responsible AI, behavioral economics, and causal inference. As a highly skilled machine learning engineer, Serg has years of experience in putting statistical tools and methods to use in deriving insights from data, and excels at being a visual communicator by nature. He has a solid foundation in computer science and statistics, and offers great advice for pursuing a career in data science that includes continuous learning and strong communication. Serg is someone who is approachable and has a passion for continuous learning and growing in an ever-evolving world of AI - a quality that many young aspiring data scientists can learn from.


Tune in as we deep dive on his diverse background and goals in AI. Serg shares advice on pursuing a career in data science that includes continuous learning, strong communication skills, and a solid foundation in computer science and statistics. He also emphasizes the importance of asking critical questions in problem-solving with machine learning and tailoring solutions that supplement human decision-making. Then we discuss his experience in applying machine learning in the agriculture industry and predicting 3D printer defects and machinery failure. Serg also shares insights into building individualized models and the future of AI, about challenges in building smarter machine learning models, alternative options to quantum computing, and the potential use of biology. Through these episode we also discusses the challenges of addressing biases in generative AI, developing AI models for present, and future needs, democratizing writing with generative AI, and exploring the basic foundations of AI through playful experiments. Finally, Serg shares advice and anecdotes for learning and growing in AI and encourages continuous learning in the ever-evolving world of AI.

We hope that you enjoy this episode, let us know in the comments or by giving the podcast a review. Have a nice day!!


Serg Masís: https://www.linkedin.com/in/smasis/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/


Artistic Direction & Video: Maxence Kerhoas
Content Strategist & Writer: Sidheswar Pothal


Follow Let's Talk AI:
✉️ Newsletter 👉 http://eepurl.com/ijZ8qz
🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/
📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai
📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/
🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/
🌐 Website 👉 https://lets-talk-ai.com/


Hosted by Ausha. See ausha.co/privacy-policy for more information.

Share

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