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ai [2019/01/11 17:37]
rzr [HARDWARE]
ai [2019/05/28 23:42] (current)
rzr
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-@TaG: MathS 
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 ===== Learn ===== ===== Learn =====
  
 +  * https://github.com/BrainJS/brain.js
 +  * https://youtu.be/M4YsClyTMzg#
   * https://github.com/karpathy/convnetjs# JavaScript   * https://github.com/karpathy/convnetjs# JavaScript
   * https://00f.net/2011/03/10/redis-as-a-recommendation-engine/   * https://00f.net/2011/03/10/redis-as-a-recommendation-engine/
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   * scikit-learn: learning process (py)   * scikit-learn: learning process (py)
   * and deep learning  neural  network  using  Keras  with  TensorFlow backend   * and deep learning  neural  network  using  Keras  with  TensorFlow backend
 +  * http://paulbourke.net/miscellaneous/correlate/
 +  * https://arxiv.org/pdf/1705.05988.pdf
 +  * https://arxiv.org/pdf/1708.03854.pdf
 +  * https://github.com/scampion/multimedia-machine-learning-tutorials
 +  * https://fr.coursera.org/learn/machine-learning
  
  
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   * https://01.org/blogs/astojilj/2018/background-removal-tensorflow.js# JavaScript   * https://01.org/blogs/astojilj/2018/background-removal-tensorflow.js# JavaScript
   * https://towardsdatascience.com/why-machine-learning-on-the-edge-92fac32105e6# McU   * https://towardsdatascience.com/why-machine-learning-on-the-edge-92fac32105e6# McU
 +  * https://youtu.be/Qt3ZABW5lD0# TensorFlowJs
  
  
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   * https://mycroft.ai/   * https://mycroft.ai/
 +  * https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
 +  * https://github.com/tensorflow/tfjs-examples#
 +  * https://github.com/brainjs/brain.js#readme
  
  
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   * https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424# TimeSeries   * https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424# TimeSeries
 +  * https://machinelearningmastery.com/category/deep-learning-time-series/# LearN
   * https://machinelearningmastery.com/how-to-get-started-with-deep-learning-for-time-series-forecasting-7-day-mini-course/#   * https://machinelearningmastery.com/how-to-get-started-with-deep-learning-for-time-series-forecasting-7-day-mini-course/#
   * https://medium.com/open-machine-learning-course/open-machine-learning-course-topic-9-time-series-analysis-in-python-a270cb05e0b3#   * https://medium.com/open-machine-learning-course/open-machine-learning-course-topic-9-time-series-analysis-in-python-a270cb05e0b3#
 +  * https://www.influxdata.com/time-series-database/
 +  * http://druid.io/use-cases# IoT and device metrics
 +  * https://www.influxdata.com/time-series-platform/#
 +  * http://opentsdb.net/overview.html
 +  * https://facebook.github.io/prophet/docs/quick_start.html#r-api
 +  * https://www.npmjs.com/package/time-series-collection
 +  * https://www.npmjs.com/package/tensorscript#
 +  * https://www.npmjs.com/package/uts
 +
  
 ===== MISC ===== ===== MISC =====
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   * https://github.com/snipsco/snips-nlu#   * https://github.com/snipsco/snips-nlu#
   * https://www.sigdial.org/files/workshops/conference18/proceedings/pdf/SIGDIAL22.pdf   * https://www.sigdial.org/files/workshops/conference18/proceedings/pdf/SIGDIAL22.pdf
 +  * https://labs.ovh.com/machine-learning-platform# ClouD
 +  * https://www.youtube.com/watch?v=p1b5aiTrGzY# VideO
 +
 +
 +===== MORE =====
 +
 +@TaG: MathS
  
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