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Success is simple


It's not just by chance that most of the successful people in this world were successful at nearly everything they did in their life after being successful for first time.
It's because they had adopted the habit of volunteering and making things happen, taking initiative and working on them to meet it's targets. So in future though they failed they got some experience and that helped in being successful in their next missions.
 
So waiting for success to come and then showing your metal is task of the lazies. It's not many times the domain that matters for success, it's the habit and way of doing things. It's in one way a general architecture which you can apply to any domain and be successful. But the sad news is that the architecture is not known to everybody, it's not written anywhere and people can't express it, they only can show it through their actions and deeds. And also it can't be learned by just watching people do it, it can be learned only by doing it as in learning swimming and bicycle.       
So waiting for some miracle to happen and make you capable enough to impart this skill/habit of becoming successful is easiest stupid thing to do. So better go and do it.

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Publishing business basics

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Following are details regarding the same (not that well written) :

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Some starts and books;
* Start Your Own Self-Publishing Business (Entrepreneur Magazine's Start Up) by Entrepreneur Press 
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West Block-I, Wing-6, 2nd Floor,
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Some new things and the initiatives in the area : Pothi.com

Starting it is …

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Installing SyntaxNet on ubuntu - Deep learning - tensorflow

1. Install Java8 (Java7(deprecated)
2. Install Brazel:
$ echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list $ curl https://storage.googleapis.com/bazel-apt/doc/apt-key.pub.gpg | sudo apt-key add - sudo apt-get update && sudo apt-get install bazel 3. sudo apt-get install swig
4. sudo pip install -U protobuf==3.0.0b2 5. sudo pip install asciitree 6. sudo pip install numpy Then you must have git installed : sudo apt-get install git and then built and test

git clone --recursive https://github.com/tensorflow/models.git cd models/syntaxnet/tensorflow ./configure cd .. bazel test syntaxnet/... util/utf8/... # On Mac, run the following: bazel test --linkopt=-headerpad_max_install_names \ syntaxnet/... util/utf8/...