Christopher CollinsThe Hidden Dangers of the NIP Process: How Innocent People Can Face Huge Fines for Traffic Offences…In an increasingly digital world, we expect records to be precise and communication to be swift. However, I recently received an £810 fine…Jun 17
Cody Marie WildinTowards Data ScienceOne Feature Attribution Method to (Supposedly) Rule Them All: Shapley ValuesAmong the papers that caught my eye at NIPS was this one, that made the lofty claim to have discovered a framework connecting together…Jan 13, 201817
Mianmananhow to learn deep learningDeep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. It…May 12May 12
Nemanja RakicevicinTowards Data ScienceNeurIPS conference — historical data analysisConferences often provide statistics for a particular year, presenting the information about the acceptance rate, diversity, geographical…Feb 27, 20212Feb 27, 20212
Marlos C. MachadoLooking at Policy Gradient Methods from an Operators PerspectiveIn this post, summarizing a paper published at NeurIPS’20, I discuss how we can see policy gradient methods from an operators perspective.Jun 10, 2023Jun 10, 2023
Christopher CollinsThe Hidden Dangers of the NIP Process: How Innocent People Can Face Huge Fines for Traffic Offences…In an increasingly digital world, we expect records to be precise and communication to be swift. However, I recently received an £810 fine…Jun 17
Cody Marie WildinTowards Data ScienceOne Feature Attribution Method to (Supposedly) Rule Them All: Shapley ValuesAmong the papers that caught my eye at NIPS was this one, that made the lofty claim to have discovered a framework connecting together…Jan 13, 201817
Mianmananhow to learn deep learningDeep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. It…May 12
Nemanja RakicevicinTowards Data ScienceNeurIPS conference — historical data analysisConferences often provide statistics for a particular year, presenting the information about the acceptance rate, diversity, geographical…Feb 27, 20212
Marlos C. MachadoLooking at Policy Gradient Methods from an Operators PerspectiveIn this post, summarizing a paper published at NeurIPS’20, I discuss how we can see policy gradient methods from an operators perspective.Jun 10, 2023
Branislav HolländerinTowards Data SciencePaper Summary: Neural Ordinary Differential EquationsA novel approach to sequential neural networksDec 27, 20184
ImTiaaninHALFIN LABSThe Future of Digital Communication: The Nostr Protocol and NIPsThe Nostr Protocol is a new digital communication system that offers a secure and efficient way of exchanging data between clients and…Feb 5, 20231
Alparslan Akyıldız academyWRITING CUSTOM SNORT RULESHello friends in this post blog I’am gonna explain how to write custom Snort rules with simple teaching techniques. There are a lot of…Oct 18, 20191