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	Podcast:		DataTalks.Club
	Episode:		Similarities and Differences between ML and Analytics - Rishabh Bhargava
	Category:		Technology
	Duration:		00:59:39
	Publish Date:		2021-10-15 17:00:00
	Description:		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 Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
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