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The Artists of Data Science

De: Harpreet Sahota
  • Resumen

  • In his book, "Linchpin", Seth Godin says that "Artists are people with a genius for finding a new answer, a new connection, or a new way of getting things done." Does that sound like you? If so, welcome to The Artists of Data Science podcast! The ONLY self-development podcast for data scientists. You're here because you want to develop, grow, and flourish. How will this podcast help you do that? Simple. By sharing advice on how to : - Develop in your professional life by getting you advice from the best and brightest leaders in tech - Grow in your personal life by talking to the leading experts on personal development - Stay informed on the latest happenings in the industry - Understand how data science affects the world around us, the good and the bad - Appreciate the implications of ethics in our field by speaking with philosophers and ethicists The purpose of this podcast is clear: to make you a well-rounded data scientist. To transform you from aspirant to practitioner to leader. A data scientist that thinks beyond the technicalities of data, and understands the impact you play in our modern world. Are you up for that? Is that what you want to become? If so, hit play on any episode and let's turn you into an Artist of Data Science!
    © 2024 Harpreet Sahota
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Episodios
  • Vision AI, AGI and YOLOv5 with Glenn Jocher
    Jun 12 2024
    Glenn Jocher, the founder of Ultralytics, unveils the journey behind YOLOv8 and discusses the future of object detection. As a pioneer in AI and the mastermind behind the renowned YOLO (You Only Look Once) object detection algorithms, Jocher shares invaluable insights and experiences in this insightful AMA session. Key Highlights: Origins of YOLOv8: Explore the evolution of YOLO models, from YOLOv3 to YOLOv8, as Jocher reveals the technical advancements and innovations driving the development of these groundbreaking object detection algorithms. Community Contributions: Learn about the pivotal role of open-source contributions and community collaboration in the success of YOLOv8, showcasing the power of collective intelligence in pushing the boundaries of AI vision systems. Technical Insights: Delve into the technical intricacies of YOLOv8, including architecture changes, loss functions, and the transition from anchor-based to anchor-free systems, offering a deeper understanding of the underlying mechanisms driving object detection. Wide Applications: Discover the diverse range of applications of YOLO models, from flaw detection in manufacturing to aiding visually impaired individuals, highlighting the versatility and real-world impact of these cutting-edge AI technologies. Future Directions: Gain insights into the future of YOLOv8 and beyond, including plans for mobile deployment, architectural improvements, convergence with NLP, and optimization strategies for custom datasets, paving the way for advancements in AI-driven object detection and computer vision. Embark on this enlightening journey with Glenn Jocher as he unravels the intricacies of YOLOv8 and shares his vision for the future of object detection in the ever-evolving landscape of artificial intelligence.
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    1 h y 1 m
  • Music Generation Using AI with Dr. Tristan Behrens
    Jun 12 2024
    In this episode we get into the captivating realm of AI-driven creativity with Dr. Tristan Behrens, an AI advisor, musician, and freelance researcher. Join us as we explore the transformative power of artificial intelligence in unlocking creativity, focusing on Dr. Behrens' expertise in using AI to generate music through his machine, Hexagon. Key Points: Guest Introduction: Dr. Tristan Behrens, an AI advisor and researcher, shares his unique journey from software development to a Ph.D. in computer science and AI. Computation and Creativity: The episode begins by unraveling the intricate relationship between computation and creativity, highlighting the fusion of technology and artistic expression. AI in Music Composition: Dr. Behrens discusses the process of training AI models on diverse music genres using MIDI data, employing the Transformer architecture and a complex token vocabulary for music track generation. Credit in AI-Augmented Creativity: The discussion touches upon the evolving role of AI in augmenting human creativity, acknowledging the importance of giving credit to both AI and human contributors. Transformers in AI: Understanding the role of Transformers in AI, particularly in converting text to music, showcases the complexity and versatility of modern AI architectures. Data Pipeline and Modeling: Dr. Behrens provides insights into building the AI model, emphasizing the significance of a robust data pipeline and thoughtful modeling. AI Music Creation Process: Explore the intricacies of converting text to sound, accompanied by Dr. Behrens' firsthand experiences with neural network outputs. Challenges and Role of Symbolic AI: Delve into the challenges of AI in music generation and the potential influence of Symbolic AI in shaping the future of creative AI applications. Future Architectures: A glimpse into the future unfolds as Dr. Behrens discusses the evolving landscape of AI architectures and their impact on creative endeavors. Deep Reinforcement Learning: Uncover the potential role of deep reinforcement learning in pushing the boundaries of AI music generation. Challenges of Deep Learning in Creativity: The episode concludes by addressing the challenges inherent in integrating deep learning into the augmentation of human creativity. Join us in this enlightening conversation with Dr. Tristan Behrens as we navigate the fascinating intersection of artificial intelligence and creativity, unlocking new possibilities in the realm of AI-generated music.
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    1 h y 5 m
  • The Final Data Science Happy Hour 02DEC2022
    Dec 4 2022
    Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=-NZbXGoj2bQ Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp
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    1 h y 33 m

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Interesting and insightful

I enjoyed this session. I recently graduated from college w my M.S. in Analytics and took a Deep Learning class building out several projects. This podcast assured me that I do need to follow my dreams working for a company that is doing DL.

#DSDJ_Dave

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