Data coffee - Support vector machine usage with complex data
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Support vector machine is usefull machine learning algorithm operating in very complex Hilbert space. Due to can be leverage with suitable kernel for segmentation of complex data, customers.
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Data coffee - Support vector machine usage with complex data
- 1. Meetup Bratislava This is a group for anyone who wants to explore the area of data science, artificial intelligence, machine learning. All skill and experience levels are welcome. I started this group to meet other outdoor enthusiasts of areas as: • build systems that use machine learning techniques in Clojure, Java, Node.js • understand machine learning problems such as regression, classification, and clustering • discover the data structures used in machine learning techniques such as artificial neural networks and support vector machines • implement machine learning algorithms in real scientific or business cases • learn more about software libraries to build machine learning systems • discover techniques to improve and debug solutions built on machine learning techniques • use machine learning techniques in a cloud architecture for the modern Web branislav.majernik@oracle.com DataData
- 2. Meetup Bratislava Vážení priaznivci moderného IT, Prijmite naše pozvanie na dobrú kávu s crossisantom v priestoroch kaviarne KORZO na Hviezdoslavovom námestí 3 v Starom Meste, dňa 14.2.2018 od 9:00 – 11:00. Naštartujeme deň diskusiou o aktuálnych trendoch v informačných technológiách, o data science, machine learning a IT s tým súvisiacim. • Support Vector Machine – prečo je úspešná v segmentácii komplikovaného zákazníka • Markov chains a ich využitie v predikcii správania sa zákazníka Ak ste sa v téme nenašli, nezúfajte, nasledovať bude: Lambda Coffee - venovaný funkcionálnej paradigme a technológiám. Registrácia na adrese: branislav.majernik@oracle.com klaudia.blaskovicova@oracle.com DataData
- 3. What is data science ?
- 4. What is data science? Tasks of regression, interpolation
- 5. What is data science? Tasks of classification
- 6. What is data science? How to learn computer a new function without explicit programming
- 7. Data science needs Platform Mathematical Native Language Speed Data Structures Language Constructs Data Connectivity End-2-End Quality Control Interactive Environment Visualization Linear Algebra Statistics Machine Learning Optimizers R, Mathlab, Mathematica C++, Java, Python Excel
- 8. Data science needs Productive and fun Portability, good parts of JVM ( ) REPL – interactive experiments Functional programing DSL's with composable abstractions Data is code, code is data and deployment in ... spread of platform, on the fly profiling, inlining, loop-unrolling, de-opt/reopt, escape analysis, dead code elimination, proven GC
- 9. Support Vector Machine Tasks of classification Source of this picture: https://med.nyu.edu/chibi/sites/default/files/chibi/Final.pdf
- 10. Support Vector Machine Tasks of classification Source of this picture: https://med.nyu.edu/chibi/sites/default/files/chibi/Final.pdf
- 11. Support Vector Machine Tasks of classification Source of this picture: https://med.nyu.edu/chibi/sites/default/files/chibi/Final.pdf
- 12. Support Vector Machine Tasks of classification Source of this picture: https://med.nyu.edu/chibi/sites/default/files/chibi/Final.pdf
- 13. Support Vector Machine Tasks of classification and regression
- 14. Support Vector Machine Tasks of classification and regression Source of this picture: https://med.nyu.edu/chibi/sites/default/files/chibi/Final.pdf
- 15. Support Vector Machine Tasks of classification and regression Source of this picture: http://web.mit.edu/6.034/wwwbob/svm-notes-long-08.pdf
- 16. Support Vector Machine Tasks of classification and regression Source of this picture: http://web.mit.edu/6.034/wwwbob/svm-notes-long-08.pdf
- 17. Support Vector Machine Tasks of classification and regression Source of this picture: http://www.robots.ox.ac.uk/~az/lectures/ml/lect3.pdf
- 18. Support Vector Machine Tasks of classification Source of this picture: http://www.robots.ox.ac.uk/~az/lectures/ml/lect3.pdf
- 19. Support Vector Machine Tasks of classification Source of this picture: http://www.robots.ox.ac.uk/~az/lectures/ml/lect3.pdf
- 20. Support Vector Machine Tasks of classification Source of this picture: http://scikit-learn.org/stable/_images/sphx_glr_plot_rbf_parameters_001.png
- 21. Support Vector Machine Tasks of regression Source of this picture: http://www.robots.ox.ac.uk/~az/lectures/ml/lect3.pdf
- 22. Support Vector Machine Tasks of regression Source of this picture: http://www.robots.ox.ac.uk/~az/lectures/ml/lect3.pdf
- 23. Support Vector Machine Tasks of regression Source of this picture: https://www.svm-tutorial.com/2014/10/support-vector-regression-r/
- 24. Support Vector Machine Correspondence with Radial Basis Neural Network Source of this picture: http://mccormickml.com/2013/08/15/radial-basis-function-network-rbfn-tutorial/
- 25. Support Vector Machine With genetic programing evolution Source of this picture: https://github.com/ssusnic/Machine-Learning-Flappy-Bird
- 26. Markov chain When probability depend on previous outcome
- 27. Hidden Markov chain When probability depend on previous outcome and is hidden from observable state
- 28. Hidden Markov chain When probability depend on previous outcome and is hidden from observable state