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Machine Learning for the noobs

Machine Learning for the noobs

A very quick guide to ML, where you can use your models afterwards in native iOS apps using CoreML

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manu rink

March 21, 2018
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  1. Machine Learning Manuela Rink, Software Engineer, Microsoft for the noob!

  2. None
  3. What… “Recognize handwritten text numbers in an native iOS app

    … offline!” … could possibly be so hard?
  4. What do I know about ML?

  5. Python Machine Learning basic knowledge again Python convert data for

    model usage some other things – dunno yet? use CoreML to predict correct results I’ll just need a bit of…
  6. Quick tip from a colleague who is totally into ML:

    “Just use an SVM with the MNIST digits database to get the model. And don’t forget to tweak it with a decent grid search!”
  7. None
  8. Where do I even get started?

  9. Step 1 “Embrace being the noob – and just run

    the code”
  10. Step 2 “Create and train your model - then convert

    to CoreML”
  11. Step 3 “Understand what you’ve just created”

  12. Step 4 “Get your input in shape, RLY!”

  13. Prep’ing your data for predictions

  14. Step 5 “Make your prediction – ALL THE RESULTS!”

  15. None
  16. It’s dangerous to go alone… https://github.com/codePrincess/doodlingRecognition +

  17. http://scikit- learn.org/stable/auto_examples/classification/plot_digits_classification.html#sphx-glr-auto- examples-classification-plot-digits-classification-py http://yann.lecun.com/exdb/mnist/ https://developer.apple.com/documentation/coreml/converting_trained_models_to_core_ml ?language=objc https://www.gitbook.com/book/leonardoaraujosantos/artificial-inteligence/details https://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-cheat-sheet … and

    this
  18. Merci :) Manu Rink Software Engineer marink@microsoft.com @codeprincess says

  19. [1] Scientific Droid - https://techfinancials.co.za/2017/08/08/future-artificial-intelligence/ [2] Chappie - http://www.newsweek.com/artificial-intelligence-scientists-racist-sexist-robots-ai-693440 [3]

    Machine thinking - https://www.sciencenews.org/article/machines-think-predicts-future-artificial-intelligence [4] Headless Human - http://www.ttec.com/sites/default/files/styles/article_main/public/perspectives1.jpg?itok=o4K9k0zs [5] Learning robot - http://robohub.org/wp-content/uploads/2017/01/machine-learning.jpg [6] ML Workbench - https://images.anandtech.com/doci/12508/azure-machine-learning-studio-predictive-score-experiment.png [7] Zelda Sword - http://piq.codeus.net/picture/143569/wooden_sword_the_legend_of_zelda_nes_ [8] Embrance - https://memegenerator.net/instance/51017062/oso-hormiguero-thug-embrace-the-change [9] HeMan - https://www.storegrowers.com/google-analytics-for-ecommerce/ [10] Results - http://www.providentmediagroup.com/blog/testimonials-study-results-and-gift-card-winner/