828: Are “Citizen Data Scientists” A Myth? With Keith McCormick
The citizen data scientist: Fact or fiction? Jon Krohn holds a conversation across episodes in this Five-Minute Friday, with today’s guest Keith McCormick, in part responding to Nick Elprin’s interview in episode 811: Scaling Data Teams Effectively.
Additional materials: www.superdatascience.com/828
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
655: AI ROI: How to get a profitable return on an AI-project investment
Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!
This episode is brought to you by Glean (glean.io), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• What an Executive Data Scientist in Residence is [05:27]
• What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]
• How companies can ensure they profit from AI projects [36:47]
• Possible organization structures for data science teams to be profitable [1:02:41]
• The current gaps in data science education [1:09:58]
Additional materials: www.superdatascience.com/655
628: The Critical Human Element of Successful A.I. Deployments
On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.
Additional materials: www.superdatascience.com/628
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
S9:E6 - What is Java good for and why is it still one of the most popular coding languages (Peggy Fisher)
GitHub cited Java as one of the most popular coding languages in 2018, and there is a reason why this language has stood the test of time. We chat with Peggy Fisher, content manager at Linkedin Learning Solutions, and author of the book Get Programming with Java, about why Java is still so popular, what it’s good for, and how to get started.
Show Links
Partner with Dev & CodeNewbie! (sponsor)
CodeNewbie Survey
C Sharp (programming language)
NetBeans
Eclipse
Coursera
Udemy
COBOL
Sequential Programming
Functional programming
Object-oriented programming
Get Programming with Java
C++
Continuous Integration (CI)
Oracle
Khan Academy
Pennsylvania College of Technology
Graphical user interface
Linkedin Learning Solutions
Java
Peggy Fisher
Peggy Fisher is a content strategist and author of the book "Get Programming With Java." She love to teach and thrives on finding new ways of teaching.
111: The Power of Soft Skills in Data Science
In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at LinkedIn Learning, Eric Weber. You will learn how soft skills can make you a rock star data scientist, hear about Data Science at LinkedIn learning, and learn how to help businesses justify their investment in data science.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/111