Visual Studio Magazine1d
Simple k-NN Regression Using C#
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to ...
The Untapped Potential Of Machine Learning For Data-Intensive Businesses
The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential ...
CMS develops new AI algorithm to detect anomalies at the Large Hadron Collider
In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy ...
How a stubborn computer scientist accidentally launched the deep learning boom
Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.
techxplore8d
Creating AI that's fair and accurate: Framework moves beyond binary decisions to offer a more nuanced approach
Two of the trickiest qualities to balance in the world of machine learning are fairness and accuracy. Algorithms optimized for accuracy may unintentionally perpetuate bias against specific groups, ...
marktechpost23d
Adaptive Data Optimization (ADO): A New Algorithm for Dynamic Data Distribution in Machine Learning, Reducing Complexity and Improving Model Accuracy
Machine learning ... ADO is an online algorithm that does not require smaller proxy models or additional external data. It uses scaling laws to assess the learning potential of each data domain in ...
GitHub23d
machine-learning-algorithms
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...
Forbes24d
AI And Machine Learning In PPC: How To Automate For Maximum Results
AI can simplify this by using machine learning algorithms to automatically adjust ... when automating your bidding with the help of AI. For example, Google’s Smart Bidding can help optimize ...