Opinions, Interviews, Reports
We welcome guest blogs and opinions - see submission guidelines.
Latest:
-
Project Hydrogen, new initiative based on Apache Spark to support AI and Data Science - Aug 16, 2018.
An introduction to Project Hydrogen: how it can assist machine learning and AI frameworks on Apache Spark and what distinguishes it from other open source projects. -
Data Scientist guide for getting started with Docker - Aug 14, 2018.
Docker is an increasingly popular way to create and deploy applications through virtualization, but can it be useful for data scientists? This guide should help you quickly get started. -
Affordable online news archives for academic research - Aug 10, 2018.
Many researchers need access to multi-year historical repositories of online news articles. We identified three companies that make such access affordable, and spoke with their CEOs. -
Top 10 roles in AI and data science - Aug 9, 2018.
When you think of the perfect data science team, are you imagining 10 copies of the same professor of computer science and statistics, hands delicately stained with whiteboard marker? We hope not! -
How GOAT Taught a Machine to Love Sneakers - Aug 7, 2018.
Embeddings are a fantastic tool to create reusable value with inherent properties similar to how humans interpret objects. GOAT uses deep learning to generate these for their entire sneaker catalogue. -
Seven Practical Ideas For Beginner Data Scientists - Aug 7, 2018.
As someone who has been there, I’d like to outline a few practical ideas to help junior data scientists get started at a small software company. The steps were drawn from my personal journey and that of others before me. -
Eight iconic examples of data visualisation - Aug 3, 2018.
A collection of the most exemplary examples of data visualizations, including Napoleons invasion of Russia and the iconic London Underground map. -
Data Scientist Interviews Demystified - Aug 2, 2018.
We look at typical questions in a data science interview, examine the rationale for such questions, and hope to demystify the interview process for recent graduates and aspiring data scientists.
July:
- Weapons of Math Destruction, Ethical Matrix, Nate Silver and more Highlights from the Data Science Leaders Summit
- What is Normal?
- 5 reasons data analytics are falling short
- How to Lie with Data Science
- Data Science For Business: 3 Reasons You Need To Learn The Expected Value Framework
- The Industries That Can Benefit Most From Predictive Analytics
- 9 Reasons why your machine learning project will fail
- Why Germany did not defeat Brazil in the final, or Data Science lessons from the World Cup
- Happy 25th Birthday, KDnuggets
- Building A Data Science Product in 10 Days
- SuperDataScience Podcast: Insights from the Founder of KDnuggets
- Chaos is needed to keep us smart with Machine Learning
-
Causation in a Nutshell
Every move we make, every breath we take, and every heartbeat is an effect that is caused. Even apparent randomness may just be something we cannot explain. - Key Takeaways from the Strata San Jose 2018
- Beating the 4-Year Slump: Mid-Career Growth in Data Science
-
Cartoon: Data Scientist was the sexiest job of the 21st century until …
This Data Scientist thought that he had the sexiest job of the 21st century until the arrival of the competition ... - The Future of Map-Making is Open and Powered by Sensors and AI
- What is Minimum Viable (Data) Product?
- AI Solutionism
- GDPR after 2 months – What does it mean for Machine Learning?
- How to Balance the Load on a Data Team
- Data science of the connected vehicle: perspectives, applications and trends
- Weak and Strong Bias in Machine Learning
-
SQL Cheat Sheet
A good programmer or software developer should have a basic knowledge of SQL queries in order to be able retrieve data from a database. This cheat sheet can help you get started in your learning, or provide a useful resource for those working with SQL.
- Why a Professional Association for Data Scientists is a Bad Idea