Introduction to Natural Language Processing for Text
https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63
https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63
Medium
Introduction to Natural Language Processing for Text
After reading this blog post, you’ll know some basic techniques to extract features from some text, so you can use these features as input…
A simple Machine Learning introduction
https://towardsdatascience.com/a-simple-machine-learning-introduction-2f0f626966d7
https://towardsdatascience.com/a-simple-machine-learning-introduction-2f0f626966d7
An easy introduction to unsupervised learning with 4 basic techniques
https://towardsdatascience.com/an-easy-introduction-to-unsupervised-learning-with-4-basic-techniques-897cb81979fd
https://towardsdatascience.com/an-easy-introduction-to-unsupervised-learning-with-4-basic-techniques-897cb81979fd
Machine learning, meet quantum computing
https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/
https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/
MIT Technology Review
Machine learning, meet quantum computing
Back in 1958, in the earliest days of the computing revolution, the US Office of Naval Research organized a press conference to unveil a device invented by a psychologist named Frank Rosenblatt at the Cornell Aeronautical Laboratory. Rosenblatt called his…
Gaussian Mixture Model clustering: how to select the number of components
https://towardsdatascience.com/gaussian-mixture-model-clusterization-how-to-select-the-number-of-components-clusters-553bef45f6e4
https://towardsdatascience.com/gaussian-mixture-model-clusterization-how-to-select-the-number-of-components-clusters-553bef45f6e4
Medium
Gaussian Mixture Model clustering: how to select the number of components (clusters)
If you landed on this post, you probably already know what a Gaussian Mixture Model is, so I will avoid the general denoscription of the…
A Gentle Introduction to Weight Constraints to Reduce Generalization Error in Deep Learning
https://machinelearningmastery.com/introduction-to-weight-constraints-to-reduce-generalization-error-in-deep-learning/
https://machinelearningmastery.com/introduction-to-weight-constraints-to-reduce-generalization-error-in-deep-learning/
MachineLearningMastery.com
A Gentle Introduction to Weight Constraints in Deep Learning - MachineLearningMastery.com
Weight regularization methods like weight decay introduce a penalty to the loss function when training a neural network to encourage the network to use small weights. Smaller weights in a neural network can result in a model that is more stable and less likely…
How to Reduce Overfitting of a Deep Learning Model with Weight Regularization
https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-regularization/
https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-regularization/
Making Your Neural Network Say “I Don’t Know” — Bayesian NNs using Pyro and PyTorch
https://towardsdatascience.com/making-your-neural-network-say-i-dont-know-bayesian-nns-using-pyro-and-pytorch-b1c24e6ab8cd?source=collection_home---2------0---------------------
https://towardsdatascience.com/making-your-neural-network-say-i-dont-know-bayesian-nns-using-pyro-and-pytorch-b1c24e6ab8cd?source=collection_home---2------0---------------------
Towards Data Science
Making Your Neural Network Say “I Don’t Know” — Bayesian NNs using Pyro and PyTorch
A tutorial + code on writing a bayesian image classifier on MNIST dataset.
No time to read AI research? We summarized top 2018 papers for you
https://www.topbots.com/most-important-ai-research-papers-2018/
https://www.topbots.com/most-important-ai-research-papers-2018/
TOPBOTS
Easy-To-Read Summary of Important AI Research Papers of 2018
UPDATE: We’ve also summarized the top 2019 and top 2020 AI & machine learning research papers. Trying to keep up with AI research papers can feel like an exercise in futility given how quickly the industry moves. If you’re buried in papers to read that you…
Data Science for Real
Transforming property management with advanced analytics and machine learning
https://towardsdatascience.com/data-science-for-real-c09f088b6550
Transforming property management with advanced analytics and machine learning
https://towardsdatascience.com/data-science-for-real-c09f088b6550
Medium
Data Science for Real
Transforming property management with advanced analytics and machine learning models
Attention, Dialogue, and Learning Reusable Patterns
https://medium.com/rasa-blog/attention-dialogue-and-learning-reusable-patterns-5d6bd18ef9f0
https://medium.com/rasa-blog/attention-dialogue-and-learning-reusable-patterns-5d6bd18ef9f0
Medium
Attention, Dialogue, and Learning Reusable Patterns
Our latest research paper introduces the new embedding policy (REDP), which is much better at dealing with uncooperative users.
Digit Recognizer - Introduction to Kaggle Competitions with Image Classification Task (0.995)
https://towardsdatascience.com/digit-recognizer-introduction-to-kaggle-competitions-with-image-classification-task-0-995-268fa2b90e13
https://towardsdatascience.com/digit-recognizer-introduction-to-kaggle-competitions-with-image-classification-task-0-995-268fa2b90e13
NHL Analytics: Shots, Rebounds, and Weak Signals
https://towardsdatascience.com/nhl-analytics-shots-rebounds-and-weak-signals-c293ba8c635f
https://towardsdatascience.com/nhl-analytics-shots-rebounds-and-weak-signals-c293ba8c635f
Medium
NHL Analytics: Shots, Rebounds, and Weak Signals
Any pro sport is an exercise in percentages. Pro players are in the top 99.99 percentile of all human beings in that particular sport…
super-cheatsheet-deep-learning.pdf
4.5 MB
Super VIP Cheatsheet: Deep Learning
Forensic Deep Learning: Kaggle Camera Model Identification Challenge
https://towardsdatascience.com/forensic-deep-learning-kaggle-camera-model-identification-challenge-f6a3892561bd
https://towardsdatascience.com/forensic-deep-learning-kaggle-camera-model-identification-challenge-f6a3892561bd
Medium
Forensic Deep Learning: Kaggle Camera Model Identification Challenge
There was a computer vision challenge that was hosted at kaggle.com about a year ago named IEEE’s Signal Processing Society — Camera Model…
Great took for neural network, deep learning and machine learning models visualization.
https://github.com/lutzroeder/netron
https://github.com/lutzroeder/netron
GitHub
GitHub - lutzroeder/netron: Visualizer for neural network, deep learning and machine learning models
Visualizer for neural network, deep learning and machine learning models - lutzroeder/netron