- Accuracy Fallacy: The Media’s Coverage of AI Is Bogus
- Dec 6, 2019.
Such as the gross exaggerations Stanford researchers broadcasted about their infamous "AI gaydar" project, there exists a prevalent "accuracy fallacy" in relation to AI from the media. Find out more about how the press constantly misleads the public into believing that machine learning can reliably predict psychosis, heart attacks, sexuality, and much more.
Tags: Accuracy, AI, Hype, Media
- Why software engineering processes and tools don’t work for machine learning
- Dec 5, 2019.
While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.
Tags: Agile, Andrew Ng, Comet, Machine Learning, Software Engineering
- The Essential Toolbox for Data Cleaning
- Dec 5, 2019.
Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.
Tags: Data Cleaning, Data Preparation
- Artificial Friend or Virtual Foe
- Dec 5, 2019.
Is AI making more good than harm?
Tags: AI, Machine Learning, Social Good, Sustainability
- Explainability: Cracking open the black box, Part 1
- Dec 4, 2019.
What is Explainability in AI and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.
Tags: Explainability, Explainable AI, Interpretability, XAI
- KDnuggets Poll: How well do current AutoML solutions work?
- Dec 4, 2019.
Take part in our latest poll, asking readers their opinions on the effectiveness of current automated machine learning solutions.
Tags: Automated Machine Learning, AutoML, Machine Learning, Poll
- A Non-Technical Reading List for Data Science
- Dec 2, 2019.
The world still cannot be reduced to numbers on a page because human beings are still the ones making all the decisions. So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.
Tags: Books, Data Science, Future, Review, Society
- Top 7 Data Science Use Cases in Trust and Security
- Dec 2, 2019.
What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.
Tags: AI, Data Science, Security, Trust, Use Cases
- Google Open Sources MobileNetV3 with New Ideas to Improve Mobile Computer Vision Models
- Dec 2, 2019.
The latest release of MobileNets incorporates AutoML and other novel ideas in mobile deep learning.
Tags: Automated Machine Learning, Computer Vision, Google, Mobile, Open Source
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