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Listen "#27 - Hands-On Learning, Research Papers and Open Source with ML Engineer Francesco Zuppichini"
Episode Synopsis
🎙️ Who is Francesco Zuppichini?
Francesco Zuppichini is a Machine Learning Engineer with a love for reconstructing and breaking things to uncover their inner workings. With a Bachelor's degree in Computer Science, he pursued his curiosity and fell in love with the possibilities of Artificial Intelligence, specifically deep learning. Francesco has worked on computer vision projects, NLP, reinforcement learning, and real-time data analytics. He has a wealth of experience developing open source projects and is a strong advocate for hands-on learning.
💡 In this episode...
In this episode we receive Francesco Zuppichini, Machine Learning Engineer with a passion for AI and deep learning. Francesco shares his experiences and insights on various topics, including hands-on learning, effective learning approaches, reading research papers, and AI project organization. He emphasizes the importance of open-mindedness in programming language choice and deep explanations in data science. Francesco also shares his thoughts on the future of AI and computer vision, stressing the importance of open source code, transparency, and real solutions.
Francesco Zuppichini: https://www.linkedin.com/in/francesco-saverio-zuppichini-94659a150/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/
Artistic Direction & Video: Maxence Kerhoas
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🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.
Francesco Zuppichini is a Machine Learning Engineer with a love for reconstructing and breaking things to uncover their inner workings. With a Bachelor's degree in Computer Science, he pursued his curiosity and fell in love with the possibilities of Artificial Intelligence, specifically deep learning. Francesco has worked on computer vision projects, NLP, reinforcement learning, and real-time data analytics. He has a wealth of experience developing open source projects and is a strong advocate for hands-on learning.
💡 In this episode...
In this episode we receive Francesco Zuppichini, Machine Learning Engineer with a passion for AI and deep learning. Francesco shares his experiences and insights on various topics, including hands-on learning, effective learning approaches, reading research papers, and AI project organization. He emphasizes the importance of open-mindedness in programming language choice and deep explanations in data science. Francesco also shares his thoughts on the future of AI and computer vision, stressing the importance of open source code, transparency, and real solutions.
Francesco Zuppichini: https://www.linkedin.com/in/francesco-saverio-zuppichini-94659a150/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/
Artistic Direction & Video: Maxence Kerhoas
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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