3 ms·

Machine learning, data science, Deep learning= backend Plotting, Charting ,visualization, = frontend

• blitzar 3y ago
  Truly the modern renaissance people of our era. Leonardo da Vinci and Michelangelo move over - the Data Scientists have arrived.
• code_runner 3y ago
  This is proving the point of the parent comments. My view of the world, and how the general structure is where I work: ML is ml. There is a slew of really complex things that aren’t just model related (ml infra is a monster), but model training and inference are the focus. Backend: building services used by other backend teams or maybe used by the frontend directly. Data eng: building data pipelines. A lot of overlap with backend some days. Frontend: you spend most of the day working on web or mobile technology Others: site reliability, data scientists, infra experts Common burdens are infrastructure, collaboration across disciplines, etc. But ML is not backend. It’s one component. It’s very important in most cases, a kitschy bolt on in other cases. Backend wouldn’t have good models without ML and ML wouldn’t be able to provide models to the world reliably without the other crew members. The fronted being charts is incorrect unless charts are the offering of the company itself
• chucke1992 3y ago
  Running matplotlib is not doing frontend...