Tu podcast para cultivar tu curiosidad, alimentar tus ganas de aprender y avanzar juntos en nuestro data journey.
Acá entrevistamos a personas que están recorriendo su camino y quieren compartir con nosotros algo de su aprendizaje y experiencias en el mundo de la Ciencia de Datos.
Básicamente van a encontrar una breve explicación del para que sirven las matemáticas en la vida ya que la gran mayoría de las personas no saben la herramienta tan poderosa para ejercer la ciudadanía de una forma crítica
We discuss seminal mathematical papers (sometimes really old 😎 ) that have shaped and established the fields of machine learning and data science as we know them today. The goal of the podcast is to introduce you to the evolution of these fields from a mathematical and slightly philosophical perspective.
We will discuss the contribution of these papers, not just from pure a math aspect but also how they influenced the discourse in the field, which areas were opened up as a result, and so on.
Our podcast episodes are also available on our youtube:
https://youtu.be/wThcXx_vXjQ?si=vnMfs
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Join Dr. Steve Keen as he shows you how he predicted the 2008 Financial Crisis YEARS before it happened.
Welcome to Rebel Economics with Dr. Steve Keen, hosted by the distinguished economist, author, and professor known for his critical perspectives on mainstream economics. In this podcast, Dr. Keen dives deep into the world of economics, debunking traditional theories and offering insights into how economies actually work. You'll explore topics ranging from debt dynamics to environmental sustainability and the pitfalls of economic orthodoxy. Join Dr. Keen as he navigates the complex terrain from theoretical economics to practical solutions, armed with his decades of research and a relentless pursuit of economic justice. Whether you're an economics student, a professional in the field, or simply curious about the economic forces that shape our world, Rebel Economics with Dr. Steve Keen is your gateway to understanding economics beyond the mainstream.
