Similarities and Differences between ML and Analytics - Rishabh Bhargava DataTalks.Club

We talked about:


Rishabh's background
Rishabh’s experience  as a sales engineer
Prescriptive analytics vs predictive analytics
The problem with the term ‘data science’
Is machine learning a part of analytics?
Day-to-day of people that work with ML
Rule-based systems to machine learning
The role of analysts in rule-based systems and in data teams
Do data analysts know data better than data scientists?
Data analysts’ documentation and recommendations
Iterative work - data scientists/ML vs data analysts
Analyzing results of experiments
Overlaps between machine learning and analytics
Using tools to bridge the gap between ML and analytics
Do companies overinvest in ML and underinvest in analystics?
Do companies hire data scientists while forgetting to hire data analysts?
The difficulty of finding senior data analysts
Is data science sexier than data analytics?
Should ML and data analytics teams work together or independently?
Building data teams
Rishabh’s newsletter – MLOpsRoundup



Links:


https://mlopsroundup.substack.com/
https://twitter.com/rish_bhargava



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