Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who wants an explanation of the “bias vs. variance tradeoff in statistical learning.”
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Ask a Data Scientist: Curse of Dimensionality
October 15, 2014 by Leave a Comment
Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel data scientist. This week’s question is from a reader who wants to know more about the “curse of dimensionality.”
Ask a Data Scientist: Recommender Systems
October 1, 2014 by 2 Comments
Welcome to the first article in a weekly series called “Ask a Data Scientist.” Once a week until you’ll see reader submitted questions answered by a practicing data scientist. Think of this new insideBIGDATA feature as a valuable resource for you to get up to speed in this flourishing area of technology. If you have a big data question you’d like answered, please just enter a comment below, or send me an e-mail.
16-Year-Old Data Scientist Creates R Shiny App to Champion Gender Equality in Sports Media Coverage of NCAA Women’s Basketball
April 23, 2023 by Leave a Comment
Nathaniel Yellin, a 16-year-old student, has concluded a new study that reveals the significant gender bias in the sports media coverage of female athletes and, in particular, college basketball players. Yellin has pursued his passions for sports, data science and inspiring change through the creation of an organization and interactive R Shiny application SIDELINED.
What to Ask Yourself when Hiring a Data Scientist
August 13, 2019 by Leave a Comment
In this special guest feature, Aria Haghighi, VP of Data Science at Amperity, discusses several important questions to ask yourself when hiring a data scientist. Hiring data scientists is hard. They’re hard to find since there are fewer trained than can meet demand, and it’s challenging to properly interview and vet them (especially the first in your organization).
How Big Data Helps Scientists Ask Bigger Questions
February 27, 2013 by Leave a Comment
You have to wonder what Albert Einstein would be up to in this era of big data. Writing in Amdahl’s and
Avoid these 7 Common Business-related Mistakes On Data Projects
April 16, 2024 by Leave a Comment
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 7 common business-related mistakes on data projects that all stem from failures in planning, preparation and communication.
Why the Modern Data Stack is Broken and How to Fix It
April 15, 2024 by Leave a Comment
In this contributed article, Stavros Papadopoulos, Founder and CEO, TileDB, discusses how we are quickly reaching a threshold where the vulnerabilities of the modern data stack are starting to outweigh its advantages. Here’s what we need to do next.
The Data Disconnect: A Key Challenge for Machine Learning Deployment
March 25, 2024 by Leave a Comment
This article is excerpted from the book, “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment,” by Eric Siegel, Ph.D., with permission from the publisher, MIT Press. It is a product of the author’s work while he held a one-year position as the Bodily Bicentennial Professor in Analytics at the UVA Darden School of Business.
The Essential Role of Clean Data in Unleashing the Power of AI
March 22, 2024 by Leave a Comment
In this contributed article, Stephanie Wong, Director of Data and Technology Consulting at DataGPT, highlights how in the fast-paced world of business, the pursuit of immediate growth can often overshadow the essential task of maintaining clean, consolidated data sets. With AI technology, the importance of data hygiene becomes even more apparent, as language models heavily rely on it.
