That is better. Then do we have to provide the list of algorithms with the proposal?
I'm currently working on the proposal. I have implemented a small prototype and I attached the link to the GitHub repository. It is a Siddhi extension, which uses Perceptron algorithm for training.Moreover, I have implemented a test class to show how to use the extension. Please go through the prototype and provide me with feedback to improve. Your feedback will be helpful to write the proposal as well. Link to GitHub repository - https://github.com/Nadheesh/ siddhi-execution-streaming-ml Thank you. On Mon, Mar 20, 2017 at 7:42 AM, Upul Bandara <u...@wso2.com> wrote: > Hi Nadheesh, > > We are planning to implement a small set (manageable for a student to > implement and test within 2-3 months) of streaming ML algorithms. > The list of algorithms is not fixed and we encourage students to come up > with a list of algorithms. > > Most probably, we will implement: > 1. Perceptron > 2. SVM > 3. Naive Bayes > 4.Nearest Neighbor > > Thanks, > Upul > > On Sun, Mar 19, 2017 at 2:53 PM, Nadheesh Jihan <nadhee...@gmail.com> > wrote: > >> I went through the book (*Chapter 12 :** Mining of Massive Datasets*) >> that was recommended by Upul to other candidates. Are we going to >> implement the algorithms mentioned in that chapter? What will be the >> required level of scalability and performance of those algorithms. >> >> I'm going to start on a prototype with *Perceptrons*. I think it is a >> good starting point, and I assumed it is one of the algorithm that is >> required to be implemented during this project since it is mentioned in the >> proposal. >> >> I appreciate that if you provide me with the list of algorithms that we >> are going to implement during this project. That will be helpful for me to >> focus my research only to the relevant algorithms. >> >> Thank you. >> >> >> >> On Sat, Mar 18, 2017 at 8:27 PM, Sriskandarajah Suhothayan <s...@wso2.com >> > wrote: >> >>> >>> >>> On Sat, Mar 18, 2017 at 8:18 PM, Nadheesh Jihan <nadhee...@gmail.com> >>> wrote: >>> >>>> Hi, >>>> >>>> I am an undergraduate from Department of Computer Science and >>>> Engineering at University of Moratuwa. I recently completed my internship >>>> period at WSO2. While I was working at WSO2, I was exposed to machine >>>> learning and real-time event processing using Siddhi. I am interested about >>>> Proposal-24 (Real-Time Machine Learning Toolkit for Siddhi) since it is >>>> more aligned with my skills and the new passion that I have developed at >>>> WSO2. However, I have few questions regarding the proposal. 1)How many ML >>>> algorithms are expected to be implemented during this project? >>>> >>> @Upul can you give insights on this. >>> >>>> 2)Are we going to implement the streaming ML algorithms from the >>>> scratch? >>>> >>> Yes >>> >>>> -- >>>> Best regards, >>>> *Nadheesh Jihan* >>>> Undergraduate | Department of Computer Science and Engineering >>>> Faculty of Engineering >>>> University of Moratuwa >>>> >>> >>> >>> >>> -- >>> >>> *S. Suhothayan* >>> Associate Director / Architect & Team Lead of WSO2 Complex Event >>> Processor >>> *WSO2 Inc. *http://wso2.com >>> * <http://wso2.com/>* >>> lean . enterprise . middleware >>> >>> >>> *cell: (+94) 779 756 757 <+94%2077%20975%206757> | blog: >>> http://suhothayan.blogspot.com/ <http://suhothayan.blogspot.com/>twitter: >>> http://twitter.com/suhothayan <http://twitter.com/suhothayan> | linked-in: >>> http://lk.linkedin.com/in/suhothayan <http://lk.linkedin.com/in/suhothayan>* >>> >> >> >> >> -- >> Best regards, >> *Nadheesh Jihan* >> Undergraduate | Department of Computer Science and Engineering >> Faculty of Engineering >> University of Moratuwa >> > > > > -- > Upul Bandara, > Associate Technical Lead, WSO2, Inc., > Mob: +94 715 468 345 <+94%2071%20546%208345>. > -- Best regards, *Nadheesh Jihan* Undergraduate | Department of Computer Science and Engineering Faculty of Engineering University of Moratuwa
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