{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6228d771cd0b9d00139a89d1/63d95254b7c1610010fe9211?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Demystifying Data Science Model Training Part I: Understanding the Algorithm, the Model and the Training","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/undefined/1646843371461-b8dfe4814143786650b095829371bfe7.jpeg?height=200","description":"<p>Thomas Erl interviews data science expert Wajid Khattak to delve into what exactly happens with models are trained (and retrained) as part of machine learning and AI systems, and to explore the role of the algorithms. This podcast is part one of a two-part conversation with Wajid.</p>","author_name":"Thomas Erl"}