BROADCASTS.com

b'Today we\\u2019re joined by Nir Bar-Lev, co-founder and CEO of ClearML.\\n\\nIn our conversation with Nir, we explore how his view of the wide vs deep machine learning platforms paradox has changed and evolved over time, how companies should think about building vs buying and integration, and his thoughts on why experiment management has become an automatic buy, be it open source or otherwise.\\xa0\\nWe also discuss the disadvantages of using a cloud vendor as opposed to a software-based approach, the balance between mlops and data science when addressing issues of overfitting, and how ClearML is applying techniques like federated machine learning and transfer learning to their solutions.\\n\\nThe complete show notes for this episode can be found at https://twimlai.com/go/488.'