In the rush towards AI and machine learning, it’s easy to forget that many business problems can be solved – often more transparently and robustly – with traditional mathematical and statistical techniques. Organisations, particularly those with mature analytics teams, often find that “simpler is better” for a range of use cases. This article highlights examples where statistical models or mathematical techniques can provide appropriate solutions in place of complex AI. Examples: Ti...| DEV Community
WHAT is a Linear Regression Model Linear regression is a statistical method for modelling...| DEV Community
I’m a High Schooler. AI Is Demolishing My Education: AI has transformed my experience of education. I am a senior at a public high school in New York, and these tools are everywhere. I do not want to use them in the way I see other kids my age using them — I generally choose not to — but they are inescapable. During a lesson on the Narrative of the Life of Frederick Douglass, I watched a classmate discreetly shift in their seat, prop their laptop up on a crossed leg, and highlight the e...| The Homebound Symphony
...| The Homebound Symphony
...| The Homebound Symphony
...| The Homebound Symphony
Access, serving, integrity, convenience, autopilot; use what you need.| eugeneyan.com
Whether you’re generating slop or code, underneath it’s the same shoggoth with a smiley face.| adactio.com
Play nice in the enterprise development sandbox with this one simple trick.| Port 1433
Background| hillman.dev
Patrick Hoefler| Blog
Recently, Machine Learning (ML) has emerged as a powerful tool within cryospheric sciences, offering innovative and effective solutions for observing, modelling and understanding the frozen regions of the Earth. From learning snowfall patterns and predicting avalanche dynamics to speeding up the process of modelling ice sheets, ML has transformed cryospheric sciences and bears many opportunities for future research. Case study: Sea ice As an example, let’s consider how ML can help us observ...| Cryospheric Sciences
Self-hosted sabotage as a form of collective action.| adactio.com
A quick look into the biology and machine learning behind DeepMind's new AlphaFold| daleonai.com
Wandering in a lifelong journey seeking after truth| Mostafa Samir's Blog
Wandering in a lifelong journey seeking after truth| Mostafa Samir's Blog
Wandering in a lifelong journey seeking after truth| Mostafa Samir's Blog
Scribd offers a variety of publisher and user-uploaded content to our users and while the publisher content is rich in metadata, user-uploaded content typically is not. Documents uploaded by the users have varied subjects and content types which can make it challenging to link them together. One way to connect content can be through a taxonomy - an important type of structured information widely used in various domains. In this series, we have already shared how we identify document types and...| Scribd Technology
Extracting metadata from our documents is an important part of our discovery and recommendation pipeline, but discerning useful and relevant details from text-heavy user-uploaded documents can be challenging. This is part 2 in a series of blog posts describing a multi-component machine learning system the Applied Research team built to extract metadata from our documents in order to enrich downstream discovery models. In this post, we present the challenges and limitations the team faced when...| Scribd Technology
User-uploaded documents have been a core component of Scribd’s business from the very beginning, understanding what is actually in the document corpus unlocks exciting new opportunities for discovery and recommendation. With Scribd anybody can upload and share documents, analogous to YouTube and videos. Over the years, our document corpus has become larger and more diverse which has made understanding it an ever-increasing challenge. Over the past year one of the missions of the Applied Res...| Scribd Technology
Everything you wanted to know about AI on Google Cloud, and much more| daleonai.com
GPU ML on Intel Arc| hillman.dev