Data Science Transition
Tuhin discusses shifting focus from model optimization to practical implementation, emphasizing the importance of making data science applicable in business operations. Chris reflects on common challenges in bridging the gap between data science research and business application, highlighting the need for effective communication strategies.In this clip
From this podcast
Practical AI
The fastest way to build ML-powered apps
Related Questions
How can data drive business decisions in the context of the episode End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256?
How can data drive business decisions in the context of the episode End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256 and the clip Model Interpretation Challenges?
How do you leverage different models in machine learning?