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notes_must_read's Introduction

[2019-01-07]


Very interesting explanation on how to create IA tools using machine learning models and diff techniques. Use a Fonts Generation tool as example on AI - IA. Very Impressive.

Using Artificial Intelligence to Augment Human Intelligence


Speech and Language Processing ebook.

http://web.stanford.edu/~jurafsky/slp3/


NLTK lib - Natural Language Processing with Python

http://www.nltk.org/book/


Neural Networks and Deep Learning ebook. Complex

http://neuralnetworksanddeeplearning.com/

author page: http://michaelnielsen.org/


NER

spaCy - ready to work NER Lib

spaCy

train

train new entity

catastrophic forgetting for NLP explained

WikiNER. spaCy training data

samples

spaCy + nltk

spaCy + dataturks

spaCy


n-grams + python (abbreviations)

github


OpenCV + Python

https://www.learnopencv.com/

Blob Detection


Nature of Code


[2019-01-08]

Nice guy samples of extracting text and summarizing the most important using NLP/NLTK

https://github.com/charlieg/A-Smattering-of-NLP-in-Python


[2019-01-28]

AllenNLP An open-source NLP research library, built on PyTorch

https://pytorch.org/

https://allennlp.org/

NER https://demo.allennlp.org/named-entity-recognition/NTcwODI0

DeepLearning Review

https://creativecoding.soe.ucsc.edu/courses/cs523/slides/week3/DeepLearning_LeCun.pdf

Image Alignment (Feature Based) using OpenCV (C++/Python)

https://www.learnopencv.com/image-alignment-feature-based-using-opencv-c-python/


[2019-01-29]

Incredible amount of information about Statistical modelling

https://risk-engineering.org/statistical-modelling/

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