It’s apparent that for some reasons making data science a success is really hard!Regardless of whether you manage an existing…
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Dealing with Cognitive biases: A data scientist perspective
Dealing with Cognitive biases: A data scientist perspectivePraveen BysaniBlockedUnblockFollowFollowingJun 23Bias is an important principle that impacts our lives on a…
Continue ReadingHow Data Science Makes Money — for Businesses
How Data Science Makes Money — for BusinessesLester LeongBlockedUnblockFollowFollowingJun 17This article is mainly for two types of people: business decision makers and…
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How to Work With Stakeholders as a Data Scientist
There’s a chance you’re missing a crucial piece of information and it’s a more reasonable request than you thought. Regardless,…
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5 Real-Time Challenges Faced by Data Science Industry and How to Combat It
Data Science in the Real World5 Real-Time Challenges Faced by Data Science Industry and How to Combat ItData Science Industry Still Facing…
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Why you’re not a job-ready data scientist (yet)
Why you’re not a job-ready data scientist (yet)Jeremie HarrisBlockedUnblockFollowFollowingJun 16If there’s one thing I’ve learned from the data science mentorship…
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Rethinking the Data Science Life Cycle for the Enterprise
How much faster could models be promoted into production if data scientists could easily find the lifecycle outputs required by…
Continue ReadingFrom Apple to Boston Bruins, how one data professional combined his personal and professional interests
From Apple to Boston Bruins, how one data professional combined his personal and professional interestsJosh Pohlkamp-Hartt shares five tips he…
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Machine Learning teams have a people problem
Machine Learning teams have a people problemMartin GonzalezBlockedUnblockFollowFollowingJun 13In collaboration with Josh Yellin“I manage products, not people,” is a common quip…
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DeepOps: The Lessons Deep Learning Can Learn From DevOps
In this special guest feature, Yuval Greenfield from MissingLink. ai, discusses the rise of “DeepOps” aka AIOps and how it…
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R Shiny in Production
In this situation, the workload should be taken out of Shiny. Be “taken out” means that data must be ready…
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How to Grow as a Data Scientist
How to Grow as a Data ScientistWhat skills do you need to go from Jr. to Sr. developerSeattleDataGuyBlockedUnblockFollowFollowingDec 19, 2017by…
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Learning from a day in the life of a data scientist
Learning from a day in the life of a data scientistDigital LeadersBlockedUnblockFollowFollowingJun 5Written by Matthew O’kane , VP, EMEA Head of…
Continue ReadingData Scientists Are Thinkers: Execution vs. exploration and what it means for you
By Conor Dewey, Data scientist at Squarespace Data scientists serve a very technical purpose, but one that is vastly different from…
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Critical Data Science Mistakes (And How to Avoid Them)
In this special guest feature, Dave McCarthy, VP of IoT Solutions at Bsquare, discusses a few of the biggest data…
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Exclusive Interview with Sonny Laskar – Kaggle Master and Analytics Vidhya Hackathon Expert
Sonny is a MBA post-graduate from IIM Indore, the place he credits for starting his data science journey. So for…
Continue ReadingI Wish I Read This Book When I First Started Out in Data Science
I Wish I Read This Book When I First Started Out in Data ScienceThat could have saved me from tons of…
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Databricks and Informatica Accelerate Development and Complete Data Governance for Intelligent Data Pipelines
The value of analytics and machine learning to organizations is well understood. Our recent CIO survey showed that 90% of…
Continue ReadingAn engineer’s perspective on engineering and data science collaboration for data products
As engineers, we may look down on one-offs or distasteful hacks, but the YAGNI principle suggests doing the simplest thing…
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Progression Of A Data Scientist
Progression Of A Data ScientistSequoiaBlockedUnblockFollowFollowingMay 16In past posts, we have discussed the building blocks of a data-informed company; how to…
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The hard things about being a data scientist in marketing
The hard things about being a data scientist in marketingNikhil GoyalBlockedUnblockFollowFollowingMay 13Most Data Scientist job descriptions are increasingly loaded with…
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Article | “Playbook: Hiring Data Scientists”
Source: Metis | March 25, 2019 Author: Brendan Herger Data Scientists are in high demand, particularly as data changes the…
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Faster Data Science
Faster Data ScienceSergei IzrailevBlockedUnblockFollowFollowingMay 14Business leaders often ask how to accelerate data science projects. It is well established that data scientists…
Continue ReadingGDPR Implications for Data Science
GDPR Implications for Data ScienceMichael BrooksBlockedUnblockFollowFollowingFeb 27General Data Protection Regulation (“GDPR”) which came into effect on May 25, 2018 sets a…
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Data Scientists Are Thinkers
Photo by Mitchell Hollander on UnsplashData Scientists Are ThinkersExecution vs. exploration and what it means for youConor DeweyBlockedUnblockFollowFollowingMay 11Data scientists serve a very…
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