Category Archives: Artificial Intelligence

Artificial Intelligence: Links And Resources (79)

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Understanding Deep Learning Requires Rethinking Generalization
https://arxiv.org/pdf/1611.03530.pdf

Data science competitions to save the world
https://www.drivendata.org/

Can a neural network learn to recognize doodling?
https://quickdraw.withgoogle.com/#

Why it’s hard to design fair machine learning models
https://www.oreilly.com/ideas/why-its-hard-to-design-fair-machine-learning-models

Getting Better at Machine Learning
https://medium.com/@rchang/getting-better-at-machine-learning-16b4dd913a1f

What’s New in Deep Learning Research: How Google Uses Reinforcement Learning to Ask All the Right Questions
https://towardsdatascience.com/whats-new-in-deep-learning-research-how-google-uses-reinforcement-learning-to-ask-all-the-right-69c172f113c4

Sequence to Sequence Learning with Neural Networks
https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf

Fundamental Python Data Science Libraries: A Cheatsheet (Part 4/4)
https://hackernoon.com/fundamental-python-data-science-libraries-a-cheatsheet-part-4-4-fd8895ef85d5

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

Artificial Intelligence: Links And Resources (78)

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NOAA Fisheries Steller Sea Lion Population Count
https://www.kaggle.com/c/noaa-fisheries-steller-sea-lion-population-count

Face Recognition Algorithms
http://www.face-rec.org/algorithms/

Nearest Neighbors with Keras and CoreML
https://hackernoon.com/nearest-neighbors-with-keras-and-coreml-755e76fedf36

Python Machine Learning Prediction with a Flask REST API
https://www.toptal.com/python/python-machine-learning-flask-example

A Deep Dive into Reinforcement Learning
https://www.toptal.com/machine-learning/deep-dive-into-reinforcement-learning

Schooling Flappy Bird: A Reinforcement Learning Tutorial
https://www.toptal.com/deep-learning/pytorch-reinforcement-learning-tutorial

An easy introduction to Natural Language Processing
https://towardsdatascience.com/an-easy-introduction-to-natural-language-processing-b1e2801291c1

Neural Network Embeddings Explained
https://towardsdatascience.com/neural-network-embeddings-explained-4d028e6f0526

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

 

Artificial Intelligence: Links And Resources (77)

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Use a Crowd Counting AI Model for your business
https://towardsdatascience.com/use-a-crowd-counting-ai-model-for-your-business-485da9c21db4

Counting people using video cameras
https://www.researchgate.net/publication/220594933_Counting_people_using_video_cameras

Use artificial intelligence to identify, count, describe wild animals
https://www.sciencedaily.com/releases/2018/06/180605124148.htm

Real-Time People Counting system using Video Camera
https://pdfs.semanticscholar.org/38d4/dce2c40a329aef2a82b003bd17551ac8439f.pdf

HPC008 Camera People Counting
https://www.peoplecounter.cn/hpc-camera-people-counting-545.html

How does one count the people on a bus using artificial intelligence?
https://www.quora.com/How-does-one-count-the-people-on-a-bus-using-artificial-intelligence

AI Could Transform the Science of Counting Crowds
https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/ai-could-transform-the-science-of-counting-crowds

Eigenface
https://en.wikipedia.org/wiki/Eigenface

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

Artificial Intelligence: Links And Resources (76)

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Weka 3: Data Mining Software in Java
https://www.cs.waikato.ac.nz/ml/weka/

Colaboratory
https://colab.research.google.com/

Asociación de Trading Algorítmicos de Argentina
http://ataa.com.ar/

IBM’s new AI toolbox puts your deep learning network to the test
https://thenextweb.com/artificial-intelligence/2018/04/17/ibm-launches-open-source-adversarial-robustness-toolbox-for-ai-developers/

Accord.NET Framework
http://accord-framework.net/

Rise Of China’s Big Tech In AI: What Baidu, Alibaba, And Tencent Are Working On
https://www.cbinsights.com/research/china-baidu-alibaba-tencent-artificial-intelligence-dominance/

What is the best algorithm for face detection using opencv and raspberry camera module
https://stackoverflow.com/questions/31161341/what-is-the-best-algorithm-for-face-detection-using-opencv-and-raspberry-camera

Theano
http://deeplearning.net/software/theano/
Python library

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

 

Artificial Intelligence: Links And Resources (75)

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Machine Learning Confronts the Elephant in the Room
https://www.quantamagazine.org/machine-learning-confronts-the-elephant-in-the-room-20180920/

New AI Strategy Mimics How Brains Learn to Smell
https://www.quantamagazine.org/new-ai-strategy-mimics-how-brains-learn-to-smell-20180918/

My attempt to understand the backpropagation algorithm for training neural networks
https://www.cl.cam.ac.uk/archive/mjcg/plans/Backpropagation.html

Bias in an Artificial Neural Network explained | How bias impacts training
https://www.youtube.com/watch?v=HetFihsXSys

Why is softmax activate function called “softmax”?
https://www.quora.com/Why-is-softmax-activate-function-called-softmax

Why use softmax as opposed to standard normalization?
https://www.quora.com/Why-is-softmax-activate-function-called-softmax

Neuroplasticity
https://medium.com/neuromation-io-blog/neuroplasticity-1bb180cf0bd3

Artificial Neural Networks – The Rosenblatt Perceptron
https://www.neuroelectrics.com/blog/artificial-neural-networks-the-rosenblatt-perceptron/

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

Artificial Intelligence: Links And Resources (74)

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Concept Learning
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.709.7174&rep=rep1&type=pdf

An autonomous robot prototype using Concept Learning model
https://pdfs.semanticscholar.org/2c76/438311da4276ed8fd7860e23b2d0f375429a.pdf

Language Modeling with Morphosyntactic Linguistic Wavelets
https://www.researchgate.net/profile/Daniela_Lopez_De_Luise/publication/289672424_Language_Modeling_with_Morphosyntactic_Linguistic_Wavelets/links/56913a5708aee91f69a4f858/Language-Modeling-with-Morphosyntactic-Linguistic-Wavelets.pdf

Del procesamiento de la lengua al razonamiento lingüístico: Morphosyntactic Linguistic Wavelets
https://tiptiktak.com/del-procesamiento-de-la-lengua-al-razonamiento-lingistico-morphosyntactic-lingui.html

Concept Learning
https://en.wikipedia.org/wiki/Concept_learning

Concept Learning: The Stepping Stone Toward Machine Learning With Find-S
https://dzone.com/articles/concept-learning-the-stepping-stone-toward-machine

Concept learning for safe autonomous AI
https://pdfs.semanticscholar.org/fcbc/0d4962734e08ce7831c470718a47adb1932b.pdf

Concept learning by example decomposition
https://www.tandfonline.com/doi/abs/10.1080/09528130802386051

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

Artificial Intelligence: Links And Resources (73)

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The topic today is understanding the human language (ie to understand a text, build a chatbot, generate articles…). I’m skeptical about a linguistic-centered approach. I prefer to have a world model. Some of these links mentions semantic network, but notably also frames, form MInsky’s ideas.

Natural Language Understanding with World Knowledge and Inferencehttp://ovchinnikova.me/slides/KR2014.pdf

Natural Language Processing for Programmers: World Models
https://worldwritable.com/https-worldwritable-com-natural-language-processing-for-programmers-world-models-b01943959830

The Two Paths from Natural Language Processing to Artificial Intelligence
https://medium.com/intuitionmachine/the-two-paths-from-natural-language-processing-to-artificial-intelligence-d5384ddbfc18

Introduction Into Semantic Modeling for Natural Language Processing
https://dzone.com/articles/introduction-into-semantic-modelling-for-natural-l

4 Approaches to Natural Language Processing and Understanding
https://www.topbots.com/4-different-approaches-natural-language-processing-understanding/

Approaches and Models for Applying Natural Language Processing
https://www.altoros.com/blog/approaches-and-models-for-applying-natural-language-processing/

Natural Language Understanding: Foundations and State-of-the-Art
https://icml.cc/2015/tutorials/icml2015-nlu-tutorial.pdf

Probabilistic Models in Computational Linguistics
https://nlp.stanford.edu/manning/talks/ima2000.pdf

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez