Subscribe to DSC Newsletter
Rafael Knuth
  • Male
  • Stuttgart
  • Germany
Share on Facebook
Share

Rafael Knuth's Friends

  • Kartik Patel
  • Ramesh Gopal
  • Markus Odenthal
  • Michael Alderete
  • Yash Karle
  • John Williams
  • Dr S Kotrappa
  • Ulf Morys
  • ajit jaokar
  • Vincent Granville
  • Tim Matteson

Rafael Knuth's Discussions

What Is Your Favorite Python Library For Visualizing Geospatial Data?

Started this discussion. Last reply by Rafael Knuth Nov 30, 2018. 2 Replies

We've looked into various geospatial data visualization libraries such as:PySALOSMnxFoliumMapbox GLGDALRasterioFionaPyProjDescartesHowever, since we cater to large enterprises with utility grade data…Continue

Tags: Fiona, Rasterio, GDAL, PyProj, Descartes

What Is A Viable Use Case For Excel, And What Is Not?

Started this discussion. Last reply by Trevor Mills Nov 13, 2018. 4 Replies

Excel has become the de-facto spreadsheet tool for business users. It currently has approximately 500 million users, and it might have a bright future ahead."To a large extent, Excel (and the alike)…Continue

Tags: Enterprise, Digital, Transformation, Analytics, Science

Is Python becoming the new Excel?

Started this discussion. Last reply by Ramesh Gopal Nov 16, 2018. 4 Replies

I recently wrote a post suggesting why Excel users should learn…Continue

Tags: Enterprise, Digital, Transformatino, Analytics, Science

Gifts Received

Gift

Rafael Knuth has not received any gifts yet

Give a Gift

 

Rafael Knuth's Page

Latest Activity

Lisa Roberts liked Rafael Knuth's blog post Visually Explained: Three Excel Core-Features Even Excel-Pros Don't Know
Friday
Rafael Knuth's blog post was featured

Visually Explained: How Can Executives Grasp What Programming Is All About?

Quite often, non-technical executives have difficulties understanding what programming, on a very fundamental level, is all about. Because of that knowledge-gap, they tend to hire and overburden experienced data professionals with tasks which they are hopelessly overqualified for. Such as, for example, doing ad-hoc SQL queries on CRM data: "You're the go-to-guy for all things data, and we need the results for the board meeting tomorrow." That's a quite humbling and frustrating experience for…See More
Thursday
Rafael Knuth's blog post was featured

Visually Explained: Three Excel Core-Features Even Excel-Pros Don't Know

Over the last few years, Excel has been redesigned from the ground up. Currently, Microsoft is making the new Excel core-features available to every user, regardless of your Office 365 license. Thanks to the Microsoft naming conventions, it is easy to confuse the new features with existing ones. That being said, Power Query and Power Pivot are not the same things as Pivot Tables, which you have likely been using for years.…See More
Nov 28
Rafael Knuth's blog post was featured

Visually Explained: How Can Executives Make Sense of Machine Learning & Deep Learning?

Many executives struggle to make sense of machine learning (ML) and deep learning (DL). Having a pragmatic relationship with technology, executives need to know on a very fundamental level: "What problems do ML & DL try to solve?" A simple, high-level answer to that question is: "It's all about building systems that do certain things better than humans, with as little intervention by humans as possible." That being said, the simplest way to distinguish between ML and its branch DL is by the…See More
Nov 20
Rafael Knuth's blog post was featured

Visually Explained: Human Vs. Artificial Intelligence - Who Wins The Race?

Human and artificial intelligence compares just as well as oranges and apples do. Nonetheless, the broader public does precisely that, including a vast portion of businesses and organizations. Hence, let's do a thought experiment: If we were to compare human and artificial intelligence, how would we go about it? And what would be the possible conclusions from that comparison?Artificial…See More
Oct 15
Tim Matteson and Rafael Knuth are now friends
Aug 12
Anne-Marie Boulé liked Rafael Knuth's blog post Four Powerful People Skills For Data Scientists
Jun 28
Rafael Knuth posted a blog post

Four Powerful People Skills For Data Scientists

Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.1. Common Assumption: People skills are just "fluffy" soft skills Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's perception.Observation: People skills can be characterized as a set of hard, tangible skills which…See More
Jun 26
Rafael Knuth's blog post was featured

Four Powerful People Skills For Data Scientists

Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.1. Common Assumption: People skills are just "fluffy" soft skills Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's perception.Observation: People skills can be characterized as a set of hard, tangible skills which…See More
Jun 26
Rafael Knuth liked Tim Matteson's video
May 10

Profile Information

Short Bio
Former advertising copywriter and marketing veteran who fell in love with data, Python and Machine Learning. Currently bootstrapping a data literacy consulting business.
My Web Site Or LinkedIn Profile
http://www.knuthconcepts.com
Field of Expertise
Data Science, Machine Learning, Business Analytics
Professional Status
Consultant
Years of Experience:
25
Your Company:
Knuth Concepts
Industry:
Consulting
Your Job Title:
CEO
How did you find out about DataScienceCentral?
Google search
Interests:
Contributing, Networking
What is your Favorite Data Mining or Analytical Website?
http://www.kdnuggets.com
What Other Analytical Website do you Recommend?
http://www.radcad.com

Rafael Knuth's Blog

Visually Explained: How Can Executives Grasp What Programming Is All About?

Posted on December 5, 2019 at 6:30am 0 Comments

Quite often, non-technical executives have difficulties understanding what programming, on a very fundamental level, is all about. Because of that knowledge-gap, they tend to hire and overburden experienced data professionals with tasks which they are hopelessly overqualified for. Such as, for example, doing ad-hoc SQL queries on CRM data: "You're the go-to-guy for all things data, and we need the results for the board meeting tomorrow." That's a quite humbling and frustrating…

Continue

Visually Explained: Three Excel Core-Features Even Excel-Pros Don't Know

Posted on November 28, 2019 at 6:10am 0 Comments

Over the last few years, Excel has been redesigned from the ground up. Currently, Microsoft is making the new Excel core-features available to every user, regardless of your Office 365 license. Thanks to the Microsoft naming conventions, it is easy to confuse the new features with existing ones. That being said, Power Query and Power Pivot are not the same things as Pivot Tables, which you have likely been using for years.…

Continue

Visually Explained: How Can Executives Make Sense of Machine Learning & Deep Learning?

Posted on November 19, 2019 at 12:30pm 0 Comments

Many executives struggle to make sense of machine learning (ML) and deep learning (DL). Having a pragmatic relationship with technology, executives need to know on a very fundamental level: "What problems do ML & DL try to solve?" A simple, high-level answer to that question is: "It's all about building systems that do certain things better than humans, with as little intervention by humans as possible." That being said, the simplest way to distinguish between ML and its branch DL…

Continue

Visually Explained: Human Vs. Artificial Intelligence - Who Wins The Race?

Posted on October 14, 2019 at 9:30am 0 Comments

Human and artificial intelligence compares just as well as oranges and apples do. Nonetheless, the broader public does precisely that, including a vast portion of businesses and organizations. Hence, let's do a thought experiment: If we were to compare human and artificial intelligence, how would we go about it? And what would be the possible conclusions from that comparison?…

Continue

Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!
 
 
 

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service