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Pragmatic Programming Techniques

Friday, August 25, 2017. There are basically 3 different types of Machine Learning. The major use case is Prediction. We provide a set of training data including the input and output, then train a model that can predict output from an unseen input. The major use case is Pattern extraction. We provide a set of data that has no output, the algorithm will try to extract the underlying non-trivial structure within the data. Agent / Environment Interaction. The agent observe the environment having state s.

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Pragmatic Programming Techniques | horicky.blogspot.com Reviews
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Friday, August 25, 2017. There are basically 3 different types of Machine Learning. The major use case is Prediction. We provide a set of training data including the input and output, then train a model that can predict output from an unseen input. The major use case is Pattern extraction. We provide a set of data that has no output, the algorithm will try to extract the underlying non-trivial structure within the data. Agent / Environment Interaction. The agent observe the environment having state s.
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1 pragmatic programming techniques
2 reinforcement learning overview
3 supervised learning
4 unsupervised learning
5 reinforcement learning
6 some terminology
7 deep q learning
8 policy gradient
9 actor critic algorithm
10 function
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pragmatic programming techniques,reinforcement learning overview,supervised learning,unsupervised learning,reinforcement learning,some terminology,deep q learning,policy gradient,actor critic algorithm,function,a3c algorithm paper,posted by,ricky ho,spark
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Pragmatic Programming Techniques | horicky.blogspot.com Reviews

https://horicky.blogspot.com

Friday, August 25, 2017. There are basically 3 different types of Machine Learning. The major use case is Prediction. We provide a set of training data including the input and output, then train a model that can predict output from an unseen input. The major use case is Pattern extraction. We provide a set of data that has no output, the algorithm will try to extract the underlying non-trivial structure within the data. Agent / Environment Interaction. The agent observe the environment having state s.

INTERNAL PAGES

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1

Pragmatic Programming Techniques: MongoDb Architecture

http://horicky.blogspot.com/2012/04/mongodb-architecture.html

Monday, April 2, 2012. NOSQL has become a very heated topic for large web-scale deployment where scalability and semi-structured data driven the DB requirement towards NOSQL. There has been many NOSQL products evolving in over last couple years. In my past blogs, I have been covering the underlying distributed system theory of NOSQL. As well as some specific products such as CouchDB. Here are some simple admin steps to start/stop MongoDb server. Major difference from RDBMS. Unlike RDBMS where all records...

2

Pragmatic Programming Techniques: Interactive Data Visualization

http://horicky.blogspot.com/2014/06/interactive-data-visualization.html

Saturday, June 28, 2014. Recently, "interactive report" is becoming a hot topic in data visualization. I believe it is becoming the next generation UI paradigm for KPI reports. Interactive report is sitting somewhere in between static report and BI tools …. Executive KPI report today. There is a gap between the static report and BI tool. Interactive Report" provides a new paradigm to fill this gap. It has the following characteristics …. By providing a much large volume of static data, "interactive repor...

3

Pragmatic Programming Techniques: July 2014

http://horicky.blogspot.com/2014_07_01_archive.html

Sunday, July 27, 2014. Incorporate domain knowledge into predictive model. To create a predictive model, feature engineering. Defining the set of input) is a key part if not the most important. In this post, I'd like to share my experience in how to come up with the initial set of features and how to evolve it as we learn more. Firstly, we need to acknowledge two forces in this setting. And tends to be simple and obvious (if it is too complex and hidden, human brain is not good at picking them up). This ...

4

Pragmatic Programming Techniques: Does Cloud Computing make sense for large enterprises

http://horicky.blogspot.com/2008/12/does-cloud-computing-make-sense-for.html

Monday, December 15, 2008. Does Cloud Computing make sense for large enterprises. While "cloud computing" provide an obvious cost-attractive operating model for technology startups as well as SME, questions always raised whether the same argument applies to large enterprises who already have an army of high-skilled system administrators running multiple geographically distributed 7 x 24 data centers. Why would they believe that Amazon can run a more effective data center operation than themselves? Droppi...

5

Pragmatic Programming Techniques: Google Pregel Graph Processing

http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html

Monday, July 12, 2010. Google Pregel Graph Processing. A lot of real life problems can be expressed in terms of entities related to each other and best captured using graphical models. Well defined graph theory can be applied to processing the graph and return interesting results. The general processing patterns can be categorized into the following . Eg When John is connected to Peter in a social network, a link is created between two Person nodes). Distributed and Parallel Graph Processing. In the case...

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Wrong Notes: May 2010

http://wrongnotes.blogspot.com/2010_05_01_archive.html

Writing my symphony with all the wrong notes. Caringorm is Architectural Poison. No one has ever accused me of shying away from sensational titles, and now's not the time to get timid. I must confess I've never been a fan of Caringorm. My first impression of Caringorm was it's over engineered. Why are there so many layers? Isn't that going to just slow you down having to develop a View, Command, Delegate, Service, etc for every round trip I make to the backend? Why is that a problem? You can't. And t...

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Wrong Notes: September 2010

http://wrongnotes.blogspot.com/2010_09_01_archive.html

Writing my symphony with all the wrong notes. Now supports running Flexjson on Android. So I thought I'd show a quick example of using Flexjson in an Android application. Hopefully this will spark some ideas about what you can use Flexjson for in your own application. I'm going to start simple creating a quick Android app that pulls recipes from Puppy Recipe. Parses it using Flexjson, and displays it in a list. Let's get started. Http:/ www.recipepuppy.com/api/? Title":"Chicken Barbados r n r n",. This i...

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Byju Veedu's technology blog: January 2010

http://bveedu.blogspot.com/2010_01_01_archive.html

Byju Veedu's technology blog. On programming science and life. Sunday, January 24, 2010. Coming from the Ant world it took sometime for me to digest the basics of Maven and it is difficult to get into any tool or technology without getting its basics. So I am putting down my thoughts/understanding of maven for newbies.Also I request to point out and correct any mistakes as I am not an expert of Maven. Why Maven and how is it different from Ant? 2) Project Object Model or POM. To share them.Also it ma...

peerdal.blogspot.com peerdal.blogspot.com

Peerdal: 10/2012

http://peerdal.blogspot.com/2012_10_01_archive.html

October 30, 2012. Lessons learned at UWaterloo (2nd part): research organization. Here is the second post about my experience at University of Waterloo. After the ode to the co-operation education program. Here is another positive observation related to research organization. All in one, I have the feeling that the time spent in meetings by researchers in North-America is four times less than their European counterparts. I wish statistics could support this claim. Why so? I found this research organizati...

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Byju Veedu's technology blog: Some thoughts on a language neutral web

http://bveedu.blogspot.com/2010/07/some-thoughts-on-language-neutral-web.html

Byju Veedu's technology blog. On programming science and life. Monday, July 26, 2010. Some thoughts on a language neutral web. Have a browser interface in local language. The user should be able to search in his local language.That means a search interface in local language where he can type in his local language and do search. Yes this is possible as Google has a option to choose your local language and search in that language.Of course there are many other search engines with same capability. When the ...

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Peerdal: Ten years as an academic scientist: preamble of my HdR

http://peerdal.blogspot.com/2015/03/ten-years-as-academic-scientist.html

March 24, 2015. Ten years as an academic scientist: preamble of my HdR. Here is the preamble of my HdR. Which I will defend on April the 7th 2015 at Rennes. I hope you will have as much fun reading this document as I had writing it. Subscribe to: Post Comments (Atom). Ten years as an academic scientist: preamble of my. The rate-of-living theory is wrong. I have consulted four times. Really! Book review: The Only Rule is it Has to Work. Michael Trick's Operations Research Blog. Touring the Rio Olympics.

wrongnotes.blogspot.com wrongnotes.blogspot.com

Wrong Notes: May 2015

http://wrongnotes.blogspot.com/2015_05_01_archive.html

Writing my symphony with all the wrong notes. Jenkins, S3 Copy Artifact, Deploy Plugin, and ROOT Context Tricks. I have two jobs. One builds my application which uses a post build step to Publish artifacts to S3 bucket. The second job is used to remotely deploy the artifacts from the first job to the Tomcat 7.x server. The 2nd job is a parameterized build with the following configuration:. Step as "Manage Artifacts". Once that was checked it finally recognized the artifacts and I got the following! Javai...

wrongnotes.blogspot.com wrongnotes.blogspot.com

Wrong Notes: Jenkins, S3 Copy Artifact, Deploy Plugin, and ROOT Context Tricks

http://wrongnotes.blogspot.com/2015/05/jenkins-s3-copy-artifact-deploy-plugin.html

Writing my symphony with all the wrong notes. Jenkins, S3 Copy Artifact, Deploy Plugin, and ROOT Context Tricks. I have two jobs. One builds my application which uses a post build step to Publish artifacts to S3 bucket. The second job is used to remotely deploy the artifacts from the first job to the Tomcat 7.x server. The 2nd job is a parameterized build with the following configuration:. Step as "Manage Artifacts". Once that was checked it finally recognized the artifacts and I got the following! Javai...

wrongnotes.blogspot.com wrongnotes.blogspot.com

Wrong Notes: February 2014

http://wrongnotes.blogspot.com/2014_02_01_archive.html

Writing my symphony with all the wrong notes. Simplest Explanation of Ivy Configurations. What does Ivy do? Ivy downloads dependencies and put them into directories your Ant script will use when compiling, packaging, etc. The important part of that is Ivy downloads dependencies and organizes them. It's up to your Ant script to use them appropriately. An ivy-module (ie ivy.xml file) has two main parts:. What dependencies do you need? How do you want them organized? Ok that was easy right? This comes from ...

wrongnotes.blogspot.com wrongnotes.blogspot.com

Wrong Notes: March 2011

http://wrongnotes.blogspot.com/2011_03_01_archive.html

Writing my symphony with all the wrong notes. How Failing Fast allows you to reframe the problem. In so many ways this is really what agile software development is trying to get you to. Agile demands a lot from your team, and the only way you can live up to the promises of agile development is to create this environment. Without it you'll just fail, or worse just survive on far less productivity. Http:/ www.fastcodesign.com/1663488/wanna-solve-impossible-problems-find-ways-to-fail-quicker. Javascript:var...

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Pragmatic Programming Techniques

Friday, August 25, 2017. There are basically 3 different types of Machine Learning. The major use case is Prediction. We provide a set of training data including the input and output, then train a model that can predict output from an unseen input. The major use case is Pattern extraction. We provide a set of data that has no output, the algorithm will try to extract the underlying non-trivial structure within the data. Agent / Environment Interaction. The agent observe the environment having state s.