Stay ConnectedMachine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.
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Copyright: © 2022 Intentional Excellence Productions, LLC
In today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific Theory of Connection, Consciousness and Being. Expect to learn about complexity theory and its implications for sentience, how great ideas are formed, whether AGI can be built with silicon-based computers, and much more!
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In today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland approaches these sensitive topics, the power of deep fakes, and much more!
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In today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, creating successful projects, and much more!
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In today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software engineering. Dive in to discover insights about Hugging Face's software engineering environment, invaluable data visualization techniques, and more!
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In today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is understanding when you've achieved "good enough" skills. Additionally, we explore team dynamics, the importance of soft skills, and offer career guidance for budding data scientists.
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In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on how to plan such projects, measure your model's success, suggest effective algorithms, and cover many other insights!
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Ben and Michael delve into the world of data science and software development. They discuss the importance of setting standards and documentation in project development, the struggle of reviewing and maintaining code changes, and the need for programmatic solutions to automate review processes. They explore the journey of building prototypes, tackling uncertainties, and the quest for a more reliable and efficient review process.
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In today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a platform that leverages AI to make you live a more fulfilled and effective life. Expect to learn about applying LLMs to personal productivity, how Paul thinks about viral content, new applications for LLMs, and much more!
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