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PyData, Seattle, 2015. Nextml, Boston, 2015. PyData Dal, 2015. PyData NY, 2014. PyData SV, 2014. Improved Clustering Of Spike Patterns Through Video Segmentation And Motion Analysis Of Micro Electrocorticographic Data [pdf]. IEEE SPMB, 2013. Trend Estimation Methods for Time Series Signals. Learning Lua as a Python Developer. Machine Learning for Programming. Topic Modeling for the Uninitiated. Learning Swift Part 1. K-Means, Sparse Coding, Dictionary Learning and All That. Similarity in the Wild. Altern...

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PyData, Seattle, 2015. Nextml, Boston, 2015. PyData Dal, 2015. PyData NY, 2014. PyData SV, 2014. Improved Clustering Of Spike Patterns Through Video Segmentation And Motion Analysis Of Micro Electrocorticographic Data [pdf]. IEEE SPMB, 2013. Trend Estimation Methods for Time Series Signals. Learning Lua as a Python Developer. Machine Learning for Programming. Topic Modeling for the Uninitiated. Learning Swift Part 1. K-Means, Sparse Coding, Dictionary Learning and All That. Similarity in the Wild. Altern...

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Home | Bugra Akyildiz | bugra.github.io Reviews

https://bugra.github.io

PyData, Seattle, 2015. Nextml, Boston, 2015. PyData Dal, 2015. PyData NY, 2014. PyData SV, 2014. Improved Clustering Of Spike Patterns Through Video Segmentation And Motion Analysis Of Micro Electrocorticographic Data [pdf]. IEEE SPMB, 2013. Trend Estimation Methods for Time Series Signals. Learning Lua as a Python Developer. Machine Learning for Programming. Topic Modeling for the Uninitiated. Learning Swift Part 1. K-Means, Sparse Coding, Dictionary Learning and All That. Similarity in the Wild. Altern...

INTERNAL PAGES

bugra.github.io

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Geometric Take on PCA | Bugra Akyildiz

http://bugra.github.io/work/notes/2014-09-27/geometric-take-on-pca

Geometric Take on PCA. If linear regression is one of the most commonly used method for regression and in general for supervised learning, Principal Component Analysis (PCA) would be the equivalent of linear regression in the unsupervised learning for mainly dimensionality reduction. It could be used a variety of problems, though. To name a few; data preprocessing(removing the correlations between variables), feature extraction. David MacKay responds to cricism on how he did not include PCA in his book.

2

Topic Modeling in Amnesty International Data

http://bugra.github.io/pages/deck/2015-04-27

For Amnesty International Data. Data Scientist at Axial. Slides: http:/ bit.ly/next-ml-boston-2015. A network that brings private companies with investors together. Enables business owners access to private capital markets. Data science in the service of humanity. Nonprofit: NGO's, governments and such. Http:/ www.datakind.org/. Global movement of people fighting injustice and promoting human rights. Http:/ www.amnestyusa.org/. Data science for humanity and profit. The unsupervised learning method. Gener...

3

Machine Learning for Programming | Bugra Akyildiz

http://bugra.github.io/work/notes/2015-04-26/machine-learning-for-programming

Machine Learning for Programming. Presented a great overview how programming could use more machine learning. He presented quite nice overview of what has been done in research and what could be possible. Generally, the presentation followed a question-answer style where he first presented the question and then try to give answer by providing additional context. I liked this format a lot. It is both easy to follow and also easy to build the solution step by step. Given a specification of a function f.

4

Scala Basics for Python Developers | Bugra Akyildiz

http://bugra.github.io/work/notes/2014-10-18/scala-basics-for-python-developers

Scala Basics for Python Developers. Python is great language, its syntax, standard library and scientific computing stack(. Module. Also, with rising. Both Hadoop and Spark favor JVM based languages(Java and Scala), for large scale data processing, Python's longtime data processing disadvantages increased by one. You could use interfaces through Jython but development of Jython is lacking and sometimes due to version differences you may not use the feature-full Python with Python. Enjoying it so far....

5

Topic Modeling for the Uninitiated | Bugra Akyildiz

http://bugra.github.io/work/notes/2015-02-21/topic-modeling-for-the-uninitiated

Topic Modeling for the Uninitiated. Search became more and more important to find the needle in this haystack. Especially, if you need a very specific document, the only option you have is to depend on the search engine’s capabilities and hope for the best. In order to overcome this problem, topic models provide a nice way to explore a collection of documents that share a single common theme so-called topic . One thing to be noted before applying Topic Modeling is that you need to care a lot about word d...

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Data Piques | Yet Another PhD to Data Science Post (Part III)

http://blog.ethanrosenthal.com/2015/10/06/interviews-to-job

Oct 06, 2015. Yet Another PhD to Data Science Post (Part III). This is the final part in my series on going from PhD to Data Science (parts I. As previously mentioned, while I was demoing my Insight project at companies, I also spent a good bit of time studying for interviews. The technical areas of study for interviews can be largely grouped as. I'll first review some resources for these areas of study then talk about interviews. I found the following study materials helpful for learning CS:. I found th...

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bugra.github.io

Home | Bugra Akyildiz

PyData, Seattle, 2015. Nextml, Boston, 2015. PyData Dal, 2015. PyData NY, 2014. PyData SV, 2014. Improved Clustering Of Spike Patterns Through Video Segmentation And Motion Analysis Of Micro Electrocorticographic Data [pdf]. IEEE SPMB, 2013. Trend Estimation Methods for Time Series Signals. Learning Lua as a Python Developer. Machine Learning for Programming. Topic Modeling for the Uninitiated. Learning Swift Part 1. K-Means, Sparse Coding, Dictionary Learning and All That. Similarity in the Wild. Altern...

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- Персональный сайт Ирины Бугра

Http:/ bugra.org.ua/kontakty/. Персональный сайт Ирины Бугра. Ольга Бутакова – Пищеварительная система. Cellution 7 (Селлюшен 7) Премиум-линия по уходу за кожей. Наталья Голоднова. О Бутакова – 12 нутрицевтиков, продлевающих жизнь. Подхомутниковы – Мифы здравоохранения. Глубокая очистка Коло-Вада (Kolo-Vada). Марина Федоренко – Коло-Вада:. Ольга Бутакова – Коло-Вада:.

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