Learning Machine Learning vs Learning Data Science

If you do want one of these (often excellent) jobs, we still recommend focusing a minority of your education on machine learning algorithms, in favor of general engineering, DevOps practices, and data pipeline infrastructure.While the world’s best machine learning expert may be able to contribute more to the grand sum of human knowledge than the world’s best data scientist, a skilled data scientist can have an outsized impact in a much broader range of situations..The job market reflects this..If you are seeking employment, you will likely do best by consuming machine learning education as just one part of a balanced diet..And, if you are looking to make your company more data driven, you will likely do best by hiring a generalist.Counter to the hype, amassing machine learning education beyond the basics without also skilling up in complementary areas has diminishing returns on the job market.Bio: Terran Melconian has led software engineering, data warehousing, and data science teams and both startups and industry giants including Google and TripAdvisor..He currently guides companies starting their first data science efforts, and teaches data science (not just machine learning!) to software engineers and business analysts.Trevor Bass is a data scientist with over a decade of experience building highly successful and innovative products and teams..He is currently the Chief Data Scientist at edX, an online learning destination and MOOC provider offering high-quality courses from the world’s best universities and institutions to learners everywhere.Resources:Related: var disqus_shortname = kdnuggets; (function() { var dsq = document.createElement(script); dsq.type = text/javascript; dsq.async = true; dsq.src = https://kdnuggets.disqus.com/embed.js; (document.getElementsByTagName(head)[0] || document.getElementsByTagName(body)[0]).appendChild(dsq); })();. More details

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