Networks
Artificial Intelligence
Neural Networks Achieve Human-Like Language Generalization
Within the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a big milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. This groundbreaking development isn't only a...
Artificial Intelligence
Roman Numeral Evaluation with Graph Neural Networks
An Introductory GuideIn this text, I would love to elucidate my journey in developing a model for automatic harmonic evaluation. Personally, I'm curious about understanding music deeply. Questions like: “Why are things structured the...
Artificial Intelligence
Simulation 106: Modeling Information Diffusion and Social Contagion with Networks
A graph-based approach to modeling the spread of knowledge through social networksSocial media has completely revolutionized the data landscape. We're more connected to every aside from now we have every been in human history....
Artificial Intelligence
Using Bayesian Networks to forecast ancillary service volume in hospitals
A Python example using diagnostic input variablesAnd, so on and so forth, until all crosstabs between parent-child pairs are defined.Now, most BNs include many parent-child relationships, so calculating probabilities can get tedious (and majorly...
Artificial Intelligence
Doug Fuller, VP of Software Engineering at Cornelis Networks – Interview Series
As Vice President of Software Engineering, Doug is chargeable for all elements of the Cornelis Networks’ software stack, including the Omni-Path Architecture drivers, messaging software, and embedded device control systems. Before joining Cornelis Networks,...
Artificial Intelligence
Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression
A case study with step-by-step code implementation25 min read·11 hours agoSuch partial knowledge of the governing differential equations hinders our understanding and control of those dynamical systems. Consequently, inferring these unknown components based on...
Artificial Intelligence
Recurrent Neural Networks, Explained and Visualized from the Ground Up Complex Flavors of Recurrent Networks Neural Machine Translation Text-Output Recurrent Models Bidirectionality Autoregressive Generation 2016 Google Translate
The design of the Recurrent Neural Network (1985) is premised upon two observations about how a great model, similar to a human reading text, would process sequential information:It should track the data ‘learned’ up...
Artificial Intelligence
Top 10 Machine Learning Algorithms Every Programmer Should Know #1. Linear Regression: The Oldie but Goodie #2. Logistic Regression: It’s Not All About Numbers #3. Decision Trees:...
Boosting Your Method to SuccessImagine running a relay race. Each runner improves upon the previous one’s performance, and together, they win the race. That’s how these algorithms work — every latest model compensates for...
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