Introducing PyCircular: A Python Library for Circular Data Analysis
Circular data can present unique challenges when it comes to analysis and modeling- 28118Murphy ≡ DeepGuide
Can Reinforcement Learning Generalize Beyond Its Training?
A Case Study in Model Generalization- 25637Murphy ≡ DeepGuide
Scientists are approaching the first near-atomic simulations of whole cells
After the impact of AI on biology, this could represent another milestone, this time rooted in pure physics- 22687Murphy ≡ DeepGuide
Predicting Drug Resistance in Mycobacterium Tuberculosis Using a Convolutional Network - Paper…
Neural networks can improve prediction in drug resistance prediction of pathogens- 20322Murphy ≡ DeepGuide
Train your ML models on GPU changing just one line of code
Utilize cuML and ATOM to make your machine learning pipelines blazingly fast- 24386Murphy ≡ DeepGuide
Modeling the World in a Deterministic Way with GEKKO
Photo by Iván Díaz on Unsplash With our world becoming more and more digitized, data collection is expanding rapidly. This data has allowed us to create more accurate models that have helped us to solve problems and find optimized solutions in many fields- 20618Murphy ≡ DeepGuide
Optimization of Nonlinear Functions via Piecewise Linearization
A step-by-step example.- 28519Murphy ≡ DeepGuide
Introduction to Maximum Likelihood Estimates
Learn about Maximum Likelihood Estimates via their application for next-word prediction- 28697Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag