Business vs. Academia
The discussion highlights the tension between academic ideals and the practical needs of businesses when implementing machine learning solutions. Companies often require control over processes and regulations, leading to a reliance on established rules rather than purely learned models. Additionally, the focus shifts from theoretical advancements to immediate problem-solving, emphasizing that in many cases, a "good enough" solution suffices over cutting-edge technology.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Richard Socher — The Challenges of Making ML Work in the Real World
Related Questions