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.
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