Introduction to Machine Learning

Introduction to Machine Learning

Learn what is Machine Learning and how data is changing the world faster and faster. This is the era of information at the speed of light. Blink and you're gone.

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Ricardo Coelho

March 08, 2017
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  1. Machine Learning Ricardo Coelho @ramcoelho

  2. Artificial Intelligence

  3. Algorithm

  4. Learning

  5. People learn from EXPERIENCE

  6. Machines learn from DATA

  7. How much data? • A LOT!! • Big Data •

    Text, Image, Audio, Video, Database, Spreadsheets • AI, Narrow AI, Deep Learning • Neural Network
  8. None
  9. None
  10. How much data? • A LOT!! • Big Data •

    Text, Image, Audio, Video, Database, Spreadsheets • AI, Narrow AI, Deep Learning • Neural Network • Statistics
  11. Freakonomics

  12. Statistics Data Relations Probability Future Data Values Reality Past and

    Present
  13. Inferential Algorithms • Regression • Anomaly Detection • Clustering •

    Classification
  14. Regression Find about the future based on the relationship between

    variables PREDICT
  15. Anomaly Detection Identify rare behavior UNUSUAL

  16. Clustering Separate intuitive groups STRUCTURE

  17. Algorithms (Clustering)

  18. Classification Find a category for information. Decision Tree, Data Mining

    TAG
  19. Algorithms

  20. Supervised learning

  21. Genetic/Evolutive Algorithms https://bit.do/evolutionsim

  22. Unsupervised learning

  23. Want to tag yourself? Yes . No

  24. Reinforcement learning

  25. None
  26. Udacity - Intro to Machine Learning (2-3 mo) https://br.udacity.com/course/intro-to-machine-learning--ud120/

  27. scikit-learn (sklearn) >>> import numpy as np >>> X =

    np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> Y = np.array([1, 1, 1, 2, 2, 2]) >>> from sklearn.naive_bayes import GaussianNB >>> clf = GaussianNB() >>> clf.fit(X, Y) GaussianNB(priors=None) >>> print(clf.predict([[-0.8, -1]])) [1]
  28. PHP-ML https://github.com/php-ai/php-ml

  29. TensorFlow

  30. TensorFlow https://youtu.be/oZikw5k_2FM

  31. Restrict vs General AI

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  38. Thank you!

  39. Questions?