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Xyggy - Automated Machine Learning

Xyggy Automated Machine Learning. For developers who need to build powerful machine intelligence applications. Deep learning with realtime machine learning combined with an interactive API. For all data types including text, image and audio. Use cases include personalization, recommendation systems, machine data, autonomous discovery services, information retrieval, anomaly detection to find outliers and more. Include relevance feedback and engineered serendipity in interactive applications. Dinesh Vadhia.

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Xyggy - Automated Machine Learning | xyggy.com Reviews

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Xyggy Automated Machine Learning. For developers who need to build powerful machine intelligence applications. Deep learning with realtime machine learning combined with an interactive API. For all data types including text, image and audio. Use cases include personalization, recommendation systems, machine data, autonomous discovery services, information retrieval, anomaly detection to find outliers and more. Include relevance feedback and engineered serendipity in interactive applications. Dinesh Vadhia.

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Xyggy - Automated Machine Learning | xyggy.com Reviews

https://xyggy.com

Xyggy Automated Machine Learning. For developers who need to build powerful machine intelligence applications. Deep learning with realtime machine learning combined with an interactive API. For all data types including text, image and audio. Use cases include personalization, recommendation systems, machine data, autonomous discovery services, information retrieval, anomaly detection to find outliers and more. Include relevance feedback and engineered serendipity in interactive applications. Dinesh Vadhia.

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Am I An Outlier, Or Are Apple Products No Longer Easy To Use? - John Battelle's Search Blog

http://battellemedia.com/archives/2012/09/am-i-an-outlier-or-are-apple-products-no-longer-easy-to-use.php

John Battelle's Search Blog. Thoughts on the intersection of search, media, technology, and more. Laquo; Tweets Belong To The User….And Words Are Complicated. Every Great Business Is An Argument (from 2008). Am I An Outlier, Or Are Apple Products No Longer Easy To Use? September 13, 2012. Whatever happened to ease of use. Honestly, where to start. How about with the iPhone itself? I have an iPhone 4, it’s about a year or so old. The contract is for two years, and I don’t feel like paying ...Well, it&#821...

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+1 is Explicit, but is not Relevance Feedback | Information Retrieval Gupf

http://irgupf.com/2011/04/07/1-is-explicit-but-not-feedback

Top Posts of 2010. Workshop on Collaborative Information Retrieval (CIR 2011) →. 1 is Explicit, but is not Relevance Feedback. April 7, 2011. A week or so ago, Google introduced it’s answer to the Facebook “Like”. It is called “ 1”. Here is a quote from the official announcement. In any explicit manner beyond typing 2.7 keywords into the one-line search box. But now Google has introduced the 1. Does this mean that explicit relevance feedback is finally here? First of all,. Google] Prosser says no, but ad...

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A Button Without The Treat | Information Retrieval Gupf

http://irgupf.com/2011/06/13/a-button-without-the-treat

They Won People Over By A Logical Argument. A Button Without The Treat. June 13, 2011. A few months ago I wrote a post entitled 1 is Explicit, but is not Relevance Feedback. I am often personally concerned that, with many of the posts I write, I am being pedantic. However, last week TechCrunch came to the same conclusion: 1 Is Like A Button You Push For A Treat — Without The Treat. Behind the 1 Button it’s a smart one. As I was saying a few months ago, 1 allows for explicit signaling. But that signal...

irgupf.com

General | Information Retrieval Gupf

http://irgupf.com/category/general

They Won People Over By A Logical Argument. June 10, 2011. Via @glinden, I enjoyed this article on why GDrive (an early cloud document/file store) was never launched by Google: At the time [2008], Google was about to launch a project it had been developing for more than a year, a … Continue reading →. Top Posts of 2010. December 27, 2010. More on Simplicity and the Paradox of Choice. June 23, 2010. Simplicity: Sparsity or Storytelling? June 10, 2010. A tweet by @akumar prompted me to punch up this quick ...

irgupf.com

Search Algorithms versus Asimov’s First Law of Robotics | Information Retrieval Gupf

http://irgupf.com/2010/12/16/its-just-math

Search Algorithms versus Asimov’s First Law of Robotics. December 16, 2010. Search Engine Land has a short article on bias versus brands. The issue at hand is whether Google Instant has a brand bias. Google says it does not:. Oh come on, now! What kind of explanation is that? There is no such thing as. 8220;just math”. There is always a conscious decision to. Math in a particular way. Let’s take as an example the classic information retrieval ranking function: tf * idf. 8220;it’s just math”. At the risk ...

irgupf.com

Information Retrieval Foundations | Information Retrieval Gupf

http://irgupf.com/category/information-retrieval-foundations

Category Archives: Information Retrieval Foundations. A Button Without The Treat. June 13, 2011. A few months ago I wrote a post entitled 1 is Explicit, but is not Relevance Feedback. I am often personally concerned that, with many of the posts I write, I am being pedantic. However, last week TechCrunch came to … Continue reading →. They Won People Over By A Logical Argument. June 10, 2011. Workshop on Collaborative Information Retrieval (CIR 2011). May 16, 2011. April 7, 2011. A week or so ago, Google i...

irgupf.com

Social Implications | Information Retrieval Gupf

http://irgupf.com/category/social-implications

Category Archives: Social Implications. A Button Without The Treat. June 13, 2011. A few months ago I wrote a post entitled 1 is Explicit, but is not Relevance Feedback. I am often personally concerned that, with many of the posts I write, I am being pedantic. However, last week TechCrunch came to … Continue reading →. December 15, 2010. Simplicity: Sparsity or Storytelling? June 10, 2010. March 15, 2010. I would like to quickly follow up on my previous post on explicitly collaborative information seekin...

irgupf.com

Search Algorithms versus Asimov’s First Law of Robotics | Information Retrieval Gupf

http://irgupf.com/2010/12/16/its-just-math/comment-page-1

Search Algorithms versus Asimov’s First Law of Robotics. December 16, 2010. Search Engine Land has a short article on bias versus brands. The issue at hand is whether Google Instant has a brand bias. Google says it does not:. Oh come on, now! What kind of explanation is that? There is no such thing as. 8220;just math”. There is always a conscious decision to. Math in a particular way. Let’s take as an example the classic information retrieval ranking function: tf * idf. 8220;it’s just math”. At the risk ...

irgupf.com

Top Posts of 2010 | Information Retrieval Gupf

http://irgupf.com/2010/12/27/top-posts-of-2010

1 is Explicit, but is not Relevance Feedback →. Top Posts of 2010. December 27, 2010. Here are the five top posts on this blog for 2010, in order:. Kasparov and Good Interaction Design. Search Versus Recommendation: Not the Only Tension. More on Simplicity and the Paradox of Choice. What You Can Find Out. Don’t Forget Explicitly Collaborative Information Seeking. Thank you to all three of my readers who made these posts so popular! This entry was posted in General. Top Posts of 2010. Top Posts of 2010.

irgupf.com

Search versus Recommendation: Not The Only Tension | Information Retrieval Gupf

http://irgupf.com/2010/01/05/more-tensions

A Fragile Local Maximum for the Web. What You Can Find Out →. Search versus Recommendation: Not The Only Tension. January 5, 2010. Greg Linden has an interesting post on Search on a domain like YouTube. I reproduce it here because I would like to elaborate on it:. 8220;anomalous”: The user doesn’t know what he or she doesn’t know. The second dimension is related to the level at which the user applies himself to the information seeking process. That level may be active or passive. 8221; and “. Standing qu...

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Xyggy - Automated Machine Learning

In 4 Easy Steps. I am the query" Personalization. Xyggy makes it easy and fast for developers to build powerful realtime machine intelligence applications online. Simply, plugin data of any type - text, image, audio - at one end and get "machine intelligence" on tap at the other end through an interactive API. Data can be unstructured or structured. Xyggy takes care of the complexity of machine learning. Xyggy is realtime from the ground-up. Data can be added and updated in realtime. In 4 Easy Steps.

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