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Machine Learning Thoughts

Some thoughts about philosophical, theoretical and practical aspects of Machine Learning.

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Machine Learning Thoughts | ml.typepad.com Reviews
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Machine Learning Thoughts | ml.typepad.com Reviews

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Some thoughts about philosophical, theoretical and practical aspects of Machine Learning.

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1

Machine Learning Thoughts: Data Mining

http://ml.typepad.com/machine_learning_thoughts/data_mining

Some thoughts about philosophical, theoretical and practical aspects of Machine Learning. On Why do we do Science? On Why do we do Science? On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist I: rationalization. Director of Science and Innovation, Nielsen BuzzMetrics; co-creator of BlogPulse. Algorithmic Learning in a Random World (Vladimir Vovk,Alex Gammerman,Glenn Shafer). Luis von Ahn ha...

2

Machine Learning Thoughts: Decision-making

http://ml.typepad.com/machine_learning_thoughts/2005/06/decisionmaking.html

Some thoughts about philosophical, theoretical and practical aspects of Machine Learning. On Why do we do Science? On Why do we do Science? On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist I: rationalization. Director of Science and Innovation, Nielsen BuzzMetrics; co-creator of BlogPulse. Algorithmic Learning in a Random World (Vladimir Vovk,Alex Gammerman,Glenn Shafer). The reality mig...

3

Machine Learning Thoughts: General

http://ml.typepad.com/machine_learning_thoughts/general

Some thoughts about philosophical, theoretical and practical aspects of Machine Learning. On Why do we do Science? On Why do we do Science? On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist I: rationalization. Director of Science and Innovation, Nielsen BuzzMetrics; co-creator of BlogPulse. Algorithmic Learning in a Random World (Vladimir Vovk,Alex Gammerman,Glenn Shafer). So we may alrea...

4

Machine Learning Thoughts: Happiness of a scientist I: rationalization

http://ml.typepad.com/machine_learning_thoughts/2007/02/happiness_of_a_.html

Some thoughts about philosophical, theoretical and practical aspects of Machine Learning. On Why do we do Science? On Why do we do Science? On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist I: rationalization. Director of Science and Innovation, Nielsen BuzzMetrics; co-creator of BlogPulse. Algorithmic Learning in a Random World (Vladimir Vovk,Alex Gammerman,Glenn Shafer). This is why I i...

5

Machine Learning Thoughts

http://ml.typepad.com/machine_learning_thoughts

Some thoughts about philosophical, theoretical and practical aspects of Machine Learning. On Why do we do Science? On Why do we do Science? On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist I: rationalization. Director of Science and Innovation, Nielsen BuzzMetrics; co-creator of BlogPulse. Algorithmic Learning in a Random World (Vladimir Vovk,Alex Gammerman,Glenn Shafer). Scientific rese...

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reinforcementlearning.blogspot.com reinforcementlearning.blogspot.com

Reinforcement Learning: To "know everything"

http://reinforcementlearning.blogspot.com/2010/09/to-know-everything.html

A blog about reinforcement learning, machine learning, and more generally artificial intelligence, with occasional posts about professorial life. Friday, September 10, 2010. Eric Schmidt, CEO of Google, describes the circumstance when "all the information in the world is available at our fingertips" (presumably through always networked mobile devices, etc.) as being a circumstance when "we can literally know everything. If you want to hear Eric say the statement above, here is the link.

reinforcementlearning.blogspot.com reinforcementlearning.blogspot.com

Reinforcement Learning: Data on Scientists and what they and the public think of them?

http://reinforcementlearning.blogspot.com/2009/07/data-on-scientists-and-what-they-and.html

A blog about reinforcement learning, machine learning, and more generally artificial intelligence, with occasional posts about professorial life. Sunday, July 12, 2009. Data on Scientists and what they and the public think of them? From the Pew Research Center for the People and Press. A must read for academics and researchers. Lots of poll results and some commentary. Posted by Satinder Singh. August 12, 2009 at 11:16 AM. March 12, 2010 at 1:03 AM. September 4, 2013 at 9:56 PM. Blogs by AI academics.

resnotebook.blogspot.com resnotebook.blogspot.com

Misc Research Stuff: July 2007

http://resnotebook.blogspot.com/2007_07_01_archive.html

An online notebook for my jottings on NLP and machine learning. Blogs on ACL Wiki. JHU NLP Reading Group. These days on ACL Wiki. Google allows data binging for researchers. Readings from SIGIR 2007. Readings from AAAI 2007. Reading List from KDD 2007. Effect of Spouses on PhD. Papers from COLT: Occams Hammer. ICML 2007 reading list. Thursday, July 26, 2007. Google allows data binging for researchers. Google now opened access to university researchers to its search and MT systems in today's announcement.

myresearchdiaries.blogspot.com myresearchdiaries.blogspot.com

My Research Diaries: November 2012

http://myresearchdiaries.blogspot.com/2012_11_01_archive.html

Things that make me think, Things that excite me, Things I yearn to learn. Sunday, November 25, 2012. TREC tracks and their meanings: A high level overview. There are multiple tasks and sub-tasks in this track of TREC. These include blog distillation and then opinion polarity. There are about 100,000 blogs in this dataset and 50 queries for which opinion polarity was provided as ground truth. These opinions are categorized into (relevant, not relevant, negative, positive, mixed). DNA and RNA sequences (g...

myresearchdiaries.blogspot.com myresearchdiaries.blogspot.com

My Research Diaries: December 2012

http://myresearchdiaries.blogspot.com/2012_12_01_archive.html

Things that make me think, Things that excite me, Things I yearn to learn. Thursday, December 27, 2012. Trying to revive the C3M algorithm. Here are some of the claims made by their paper " Concept and Effectiveness of the Cover Coefficient Based Clustering Methodology for Text Databases by Fazli Can and Esen OZkarahan". A) Clusters are stable. B) Algorithm is independent of order of documents, hence, we will always a unique clusters. C) The memory overhead is really low. Creating the C matrix. For each ...

myresearchdiaries.blogspot.com myresearchdiaries.blogspot.com

My Research Diaries: Data Science Lightning Talks: #GHC14

http://myresearchdiaries.blogspot.com/2014/10/data-science-lightning-talks-ghc14.html

Things that make me think, Things that excite me, Things I yearn to learn. Friday, October 10, 2014. Data Science Lightning Talks: #GHC14. The lightning talks at GHC's Data Science track were super fun and covered a wide range of topics. Although data scientists or machine learning folks already know most of these concepts, its great to get a refresher. As a plus the passion of the speakers was contagious. Trusting User Annotations on the Web for Cultural Heritage Domains Presenter by. This was a fun end...

myresearchdiaries.blogspot.com myresearchdiaries.blogspot.com

My Research Diaries: May 2014

http://myresearchdiaries.blogspot.com/2014_05_01_archive.html

Things that make me think, Things that excite me, Things I yearn to learn. Thursday, May 1, 2014. Building Apache Spark Jars. I already have a cluster of spark set up on a set of machines. Let me call this the "lab" cluster. This lab cluster came pre-installed with Hadoop. I want to run spark jobs (written in scala) on this cluster. There are two ways to do it. A) Running sbt run. From the root of the sbt project that contains the scala code. B) Run the fat jar created by sbt assembly as follows.

myresearchdiaries.blogspot.com myresearchdiaries.blogspot.com

My Research Diaries: April 2013

http://myresearchdiaries.blogspot.com/2013_04_01_archive.html

Things that make me think, Things that excite me, Things I yearn to learn. Thursday, April 11, 2013. Surviving the PhD program. A great resource for those who are procrastinating on writing. This webpage also contains tons of other helpful material, like balanced-life chart, tools on staying organized, positive affirmations on writing and so on. Life is easier when you can laugh at yourself. Here are some daily affirmations. For doctoral students. But I stayed away from PhD comics. As much as I could.

absolutely-regular.blogspot.com absolutely-regular.blogspot.com

Absolutely Regular: The Voluntary Human Extinction Movement

http://absolutely-regular.blogspot.com/2010/09/voluntary-human-extinction-movement.html

A math/computer science research blog. Monday, September 13, 2010. The Voluntary Human Extinction Movement. Have you heard of The Voluntary Human Extinction Movement. And yet the lack of self-awareness is surreal, bordering on (and occasionally crossing into) the comical. Consider their Why Breed. Some of these are jaw-droppingly idiotic (pretext: "Pregnancy and childbirth are life experiences"; suggestion: "Rent pregnancy simulator. Is that a meta-joke? Others are dutifully cribbed from the multikulti b...

reinforcementlearning.blogspot.com reinforcementlearning.blogspot.com

Reinforcement Learning: August 2010

http://reinforcementlearning.blogspot.com/2010_08_01_archive.html

A blog about reinforcement learning, machine learning, and more generally artificial intelligence, with occasional posts about professorial life. Monday, August 16, 2010. A Visual Representation of a Doctorate. Of what a doctorate means. Posted by Satinder Singh. Subscribe to: Posts (Atom). Blogs by AI academics. Social Machine Learning (Andrea Thomaz). Csaba Szepesvari's ReadingsML Blog. David Pennock's Oddhead Blog. Blogs by other Academics. Links to Upcoming Conferences.

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Machine Learning Thoughts

Some thoughts about philosophical, theoretical and practical aspects of Machine Learning. On Why do we do Science? On Why do we do Science? On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist II: the 80/20 rule. On The Failure of AI. On Happiness of a scientist I: rationalization. Director of Science and Innovation, Nielsen BuzzMetrics; co-creator of BlogPulse. Algorithmic Learning in a Random World (Vladimir Vovk,Alex Gammerman,Glenn Shafer). Scientific rese...

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