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Machine Learning and Applications

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Machine Learning and Applications

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Expert Session delivered during Workshop on
Image Processing and Machine Learning for Pattern Recoginition on 11th July 2016 at
University Institute of Engineering and Technology, Chandigarh

Expert Session delivered during Workshop on
Image Processing and Machine Learning for Pattern Recoginition on 11th July 2016 at
University Institute of Engineering and Technology, Chandigarh

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Machine Learning and Applications

  1. 1. MACHINE LEARNING AND APPLICATIONS Geeta Arora Expert Session delivered during Workshop on Image Processing and Machine Learning for Pattern Recoginition on 11th July 2016 at University Institute of Engineering and Technology, Chandigarh
  2. 2. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries Applications Demo Workflow
  3. 3. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries Applications Demo Workflow
  4. 4. Machine Learning is not the future
  5. 5. Why Machine Learning? Develop systems that can automatically adapt themselves to users • Personalized news or emails Discover new knowledge from large databases Ability to mimic humans and replace monotonous tasks which require some intelligence • Recognizing handwritten characters Develop systems that are too difficult or expensive to construct manually or knowledge tuned to a specific task
  6. 6. Why the increased interest in Machine Learning? 1. Growing volumes and varieties of available data
  7. 7. 2. Cheaper and more powerful computational processing
  8. 8. 3. Better and inexpensive storage capacities
  9. 9. 4. Open source revolution
  10. 10. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries Applications Demo Workflow
  11. 11. What is Machine Learning? Field of study that gives the computers the ability to learn without being explicitly programmed. (Arthur Sameul, 1959)
  12. 12. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries Applications Demo Workflow
  13. 13. Problem – Distinguish Apple from Orange
  14. 14. Write a function which takes and image file and outputs if it is an apple or not?
  15. 15. Start writing rules…
  16. 16. Rules start breaking ….
  17. 17. Lets solve with machine learning Classifier Apple
  18. 18. How do you solve the problem using Machine Learning? Collect Training Data Train Classifier Make Predictions
  19. 19. Collect Training Data Train Classifier Make Predictions Feature 1 Feature 2Example Example
  20. 20. The Code – Hello World of Machine Learning from sklearn import tree features = [[140, "smooth"], [130, "smooth"], [150, "bumpy"], [170, "bumpy"]] labels = ["apples", "apples", "orange", "orange"] features = [[140, 1], [130, 1], [150, 0], [170, 0]] labels = [0, 0, 1, 1] clf = tree.DecisionTreeClassifier() clf.fit(features, labels) print(clf.predict([[160, 0]]))
  21. 21. clf.fit(features, labels) Under the hood…
  22. 22. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries Applications Demo Workflow
  23. 23. Types of Machine Learning Machine Learning Supervised Regression Classification Unsupervised Clustering Reinforcement Recommendations
  24. 24. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries Applications Demo Workflow
  25. 25. Machine Learning Workflow
  26. 26. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries s Applications Demo Workflow
  27. 27. Machine Learning Libraries
  28. 28. What is Machine Learning? Hello World of Machine Learning Types of Machine Learning Why Machine Learning? AGENDA Libraries Applications Demo Workflow
  29. 29. Gmail: ensuring a spam-free inbox with Machine Learning
  30. 30. Google's Smart Email Reply
  31. 31. Google Photos uses machine learning to create customized albums
  32. 32. Google Keyboard
  33. 33. Google Speech Recognition
  34. 34. Apple Siri
  35. 35. Amazon Echo
  36. 36. https://play.google.com/store/apps/details?id=com.scigh.cricketworldcup2 015 DEMO Scigh Cricket App
  37. 37. geeta.a.arora@gmail.com

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