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Algorithms for Big Data

Algorithms for Big Data. I do consulting and software development. Search (Your users can find your products even if they write a few relevant characters). Data Mining (Your business people can discover difficult to define segments of customers). Machine Learning (Your marketing people can target your email campaign better). Recommendation Systems (Your users will see relevant and related products or items). Algorithm Development (You have a problem you cannot solve EFFICIENTLY). This series contains tip...

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Algorithms for Big Data. I do consulting and software development. Search (Your users can find your products even if they write a few relevant characters). Data Mining (Your business people can discover difficult to define segments of customers). Machine Learning (Your marketing people can target your email campaign better). Recommendation Systems (Your users will see relevant and related products or items). Algorithm Development (You have a problem you cannot solve EFFICIENTLY). This series contains tip...

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Algorithms for Big Data. I do consulting and software development. Search (Your users can find your products even if they write a few relevant characters). Data Mining (Your business people can discover difficult to define segments of customers). Machine Learning (Your marketing people can target your email campaign better). Recommendation Systems (Your users will see relevant and related products or items). Algorithm Development (You have a problem you cannot solve EFFICIENTLY). This series contains tip...

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Singular Value Decomposition: All Posts - Algorithms for Big Data

http://stefansavev.com/blog/singular-value-decomposition-all-posts

Algorithms for Big Data. Singular Value Decomposition: All Posts. Singular Value Decomposition (SVD). This series contains tips and tricks about the SVD. SVD is a foundational technique in Machine Learning. This series approaches the SVD from a few view points to build more useful intuition what is actually happening behind the equations. The equation behind SVD is a very elegant mathematical statement, but also a very thick one as well. The SVD of a matrix is defined as. The Swiss Army Knife of Big Data.

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Stefan Savev

http://stefansavev.com/consulting/consulting.html

Blog on Big Data. Search/Data Consultant and Software Developer. I offer consulting and software development services in the following areas:. Search Engine Tuning for Performance and Relevance (with Solr and ElasticSearch). Recommendation Systems (product recommendations, advertising). Data Analytics and Machine Learning (with R, Python and Spark). Implementation of algorithms in Hadoop, Spark, Hive. Setup of data pipelines. Last update: May 27, 2015.

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Cosine Similarity: All Posts - Algorithms for Big Data

http://stefansavev.com/blog/cosine-similarity-all-posts

Algorithms for Big Data. Cosine Similarity: All Posts. A series of blog posts about cosine similarity. Starts simple but ends with advanced techniques. Contains implementation and evaluation of methods on Twenty Newsgroups dataset. Preprocessing and Data Transformations. Efficient Computation of Top-K Most Similar Documents With Inverted Index, Sketching and Sampling. Beyond Cosine Similarity (i.e. Hypothesis Testing and Jensen-Shannon divergence). Posted by Stefan Savev. Cosine Similarity: All Posts.

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Algorithms for Big Data

http://stefansavev.com/about-me

Algorithms for Big Data. My goal with Algorithms for Big Data blog is to bridge the divide between academia and industry in the emerging field of Big Data. While most methods for Big Data originate in academic publications, those are often difficult to understand and obfuscate the basic ideas behind the methods. In my blog I focus on explaining the intuition behind the algorithms in terms that are accessible to practitioners. Case Studies in Dimensionality Reduction.

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randomtrees by randomtrees

http://stefansavev.com/randomtrees

Search Inside the Matrix. Download .tar.gz. Welcome to the Random Projections talk at Berlin Buzzwords 2015. Thank you to everyone who attended the talk. Thank you for your questions, comments and feedback after the talk. Special thanks to the people who helped me with suggestions and feedback during the preparation of the talk. Slides for the Talk. Spotify/Annoy github repository mentioned in the talk. Github repository for RandomProjections@Buzzwords mentioned in the talk.

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stefansavev.com

Algorithms for Big Data

Algorithms for Big Data. I do consulting and software development. Search (Your users can find your products even if they write a few relevant characters). Data Mining (Your business people can discover difficult to define segments of customers). Machine Learning (Your marketing people can target your email campaign better). Recommendation Systems (Your users will see relevant and related products or items). Algorithm Development (You have a problem you cannot solve EFFICIENTLY). This series contains tip...

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Stefan Savides Birds in Art Sculpture

Birds in Bronze. From Minies to Monumental. Stefan Savides - 1-541-885-2912. Http:/ www.savidessculpture.com. Bird Sculpture, Bird Statues. Avian Design Sculpture, Bird Sculpture, Avian Sculpture, Waterfowl Sculpture, Upland Game Bird Sculpture, Raptor Sculpture, Eagles and Hawk Sculpture, song birds, Wading Birds,. Fri Jul 24 12:57:12 2015. Stefan Savides - Stefan - Bio. Experience Our Work First Hand. Visit these Fine Art Galleries. - Our Galleries - Galleries. Our Studio - TealTrio. Height - 29" x Len...

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Coiffeur parisien spécialiste du lissage japonais. Ou lissage permanent, du lissage Brésilien, des extensions de cheveux. Et des chignons pour mariage ou soirée. Salon Stefan Savoy - 14, place de la nation - 75012 Paris - Rendez vous au 01 40 19 08 59. Entrer sur le site de notre salon de coiffure de Paris 12ème. Le salon : Salon de coiffure à paris. Pour visualiser ce contenu, merci d'installer le plugin Flash. Crédit photos: Hung Up - Alexandre Pattein. Se démarque par un service personnalisé.

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Stefan says

My thoughts on ASP/ASP.NET, databases and more. Friday, September 21, 2007. I have been doing some large dataset sites lately to learn different models how to handle performance. It's not actually all that easy when dealing with large datasets (what I mean is client side performance) - simply too much data in the browser. First tip is to really mimimize the markup - and have it put into the css file instead. For example on demo this page on plants. I have tried to put the li markup to a minimum. This is ...