Machine Learning with Python

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Machine Learning with Python

  1. 1. Machine Learning With Python Sreejith.S Jaganadh.G INTERNAL INTERNAL
  2. 2. Machine Learning● Sub field of Artificial Intelligence.● Algorithms that allow computers to learn.● Trains a model,in order to generalize.● Rely heavily on Mathematics & Statistics● Limitations INTERNAL INTERNAL
  3. 3. Real Life examples● Searching & Ranking System ● Google● Recommendation System ● Amazon , Netflix● Other Areas ● Bio-technology , Financial fraud detection , Machine Vision ● Stock Market Analysis , National Security etc.. INTERNAL INTERNAL
  4. 4. Collaborative Filtering● Filter information based on user preference● Similar users like similar things.● Creates a ranked list of collections● Searching a large set of people and finding a smaller set with tastes similar to you● Two types ● User based ● Item based INTERNAL INTERNAL
  5. 5. User Based● Looks for users who share the same rating patterns with the query user● Use the ratings from like-minded users to calculate a prediction for the query userItem Based● Build an item-item matrix determining relationships between pair of items.● Using the matrix,and the data on the current user,infer taste INTERNAL INTERNAL
  6. 6. Every day Examples Netflix Movie Recommendation “The netflix prize seeks to substantially improve the accuracy of predictions about how much some one is going to love a movie based on their movie preference” INTERNAL INTERNAL
  7. 7. Amazon.com Book Recommendation ● If amazon.com doesnt know me then i get generic recommendations ● As I make purchases,click items,rate items make lists my recommendations “better” INTERNAL INTERNAL
  8. 8. DEMO INTERNAL INTERNAL
  9. 9. Searching & Ranking● Allow people to search a large set of documents for a list of words● Rank results according to how relevant the documents are to those words INTERNAL INTERNAL
  10. 10. Whats in a Search Engine● Develop a way to collect the documents● This will involve crawling● After you collect the documents, they need to be indexed● The final step is,returning a ranked list of documents from a query.● Finally, need to build a neural network for ranking queries. INTERNAL INTERNAL
  11. 11. DEMO INTERNAL INTERNAL
  12. 12. Document Classification● Filing document is hard work● Route email messages in to folders● Route help-desk enquirers to correct staff● Add new documents to topic hierarchy INTERNAL INTERNAL
  13. 13. DEMO INTERNAL INTERNAL
  14. 14. Thank You INTERNAL INTERNAL

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