IoT with ESP8266

I’ve been playing around with the $4 esp8266 (Wifi & Lua) controller…
https://github.com/nodemcu/nodemcu-firmware

NodeMCU_DEVKIT_1.0

I’ve got bunch of sensors and servos to work and I’ve also hooked it up to an Android app using Blync

Next, I will use a more serious framework OpenHab

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LearnDataScience

LearnDataScience

I’ve been going to this http://www.meetup.com/LearnDataScience/ Data Science meet-up for the last 6 months so here is a list of some papers/books/tutorials

  • (Currently) Udacity DL https://www.udacity.com/course/deep-learning–ud730
  • Nvidia DL classes https://developer.nvidia.com/deep-learning-courses
  • Practical recommendations for gradient-based training of deep architectures http://arxiv.org/abs/1206.5533
  • A Short Introduction to Boosting http://www.site.uottawa.ca/~stan/csi5387/boost-tut-ppr.pdf
  • Human-level concept learning through probabilistic program induction http://web.mit.edu/cocosci/Papers/Science-2015-Lake-1332-8.pdf
  • Expectation propagation as a way of life http://arxiv.org/pdf/1412.4869v1.pdf, videos http://videolectures.net/mlss09uk_minka_ai/
  • TensorFlow:Large-Scale Machine Learning on Heterogeneous Distributed Systems http://download.tensorflow.org/paper/whitepaper2015.pdf
  • A Review of Bayesian Variable Selection Methods http://projecteuclid.org/download/pdf_1/euclid.ba/1340370391
  • An Introduction to Variable and Feature Selection http://machinelearning.wustl.edu/mlpapers/paper_files/GuyonE03.pdf
  • Trustworthy Online Controlled Experiments http://www.exp-platform.com/Pages/PuzzingOutcomesExplained.aspx
  • Independent Component Analysis http://cs229.stanford.edu/notes/cs229-notes11.pdf
  • Sparse auto-encoder http://web.stanford.edu/class/cs294a/sparseAutoencoder.pdf
  • Self-Taught Learning: Transfer Learning from Unlabelled Data http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_RainaBLPN07.pdf
  • ML (Sanford by Andrew Ng – the best course in ML) https://www.coursera.org/learn/machine-learning/
  • Using neural nets to recognize handwritten digits http://neuralnetworksanddeeplearning.com/chap1.html
  • Deep learning Montreal http://deeplearning.net/tutorial/deeplearning.pdf
  • Book recommended on time series http://www.sagepub.com/books/Book240640