All that is comes from the mind

2021년 8월 20일 금요일

this is solution :

python -m pip install --upgrade --no-cache-dir --use-deprecated=legacy-resolver <package>

2020년 1월 4일 토요일

install docker container

if you use the os centos and don't think about inner process

just write the follow the line

$ su - root

$ curl -fsSL https://get.docker.com/ | sudo sh

if you encounter this message "cannot connect to the docker daemon at //var/run/docker.sock.

is the docker daemon running?"  you didn't start the docker daemon.

$ sudo systemctl start docker

$ sudo systemctl enable docker

otherwise, you read the website

https://docs.docker.com/install/linux/docker-ce/centos/

followed added lines are parts of website




$ sudo yum install /path/to/package.rpm




Docker is installed but not started. The docker group is created, but no users are added to the group.


Start Docker.


$ sudo systemctl start docker





Verify that Docker Engine - Community is installed correctly by running the hello-world image.


$ sudo docker run hello-world

https://docs.docker.com/docker-for-windows/

https://docs.docker.com/docker-for-mac/

2019년 1월 26일 토요일

How come I should learn the machine learning?

If I run the business, I have a lot of technologies. And there are many open technologies all around the world. But I should decide the direction which is the blue ocean. I am used to developing the website with a search engine. And I had graduated electronic engineering. I think I like the display instrument and electronic communication. I had also tried to go electronic companies with R&D. It was a hard time to get a job.

2019년 1월 23일 수요일

Computer vision week5

Cnn technical explanation there is an excellent article on the data science blog
an excellent technical description of reinforcement learning (Links to an external site.)

Towards Data Science has a nice technical introduction Links to an external site.if you are interested in exploring this further. In addition you might be interested in their article on the potential applications (Links to an external site.)Links to an external site. of reinforcement learning in the real world.

There is a nice description of AlphaGo Zero on the deepmind blog (Links to an external site.)

Facial Expression Recognition with Convolutional Neural Networks: Coping with Few Data and the Training Sample Order (Links to an external site.)

2018년 12월 30일 일요일

Search and Data Mining Week4

There are some search related links.

'As we may think'

Information retrieval

The 'cold start' problem

Data Mining Links

Nine Law's of Data Mining

Data Mining for Dummies - X-Files

Martech Advisor's piece on micro-segmentation

Association Rule Mining on upgrad (Links to an external site.)

(Links to an external site.)Links to an external site.

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a nice overview of 5 different clustering algorithms (Links to an external site.)

Srinath Perera has listed a number of different anomaly detection algorithms (Links to an external site.)

2018년 12월 22일 토요일

La Reverdie - Victimae paschali laudes

2018년 12월 8일 토요일

NLG week3

NLG enables machines to convert structured data into human text or speech.
It's objective is machine creation of natural language so that they can do something useful. Challenge is the understanding and representing the meaning of the word. NLG system input can be defined as a four-tuple such as knowledge source, communicative goal, user model, discourse history.
Let see the NLG pipeline as the simple view. First, the purpose of communication motivation. Second, What do we want to say? Content or message. Third, How are we going to say it? Finally, Produce communication formulating the output.
The goal, knowledge of domain and grammar used to generate the document planning.
Why is NLG difficult? Mapping, choice, planning problems.
NLG application contains Machine translation, authoring, text summarization, Question answering in the knowledge base.
To deploy the nlg, you have to think what the objective is? And what is the data to process? What is the output? Will the benefit offer a return on investment?
The computer must behave intelligently that act like humans to achieve human-level performance in all cognitive tasks. It includes NLP, knowledge representation, automated reasoning, machine learning.

Alan Turing and the Imitation Game
Turing Test - Still valid?
Measures of intelligence
The problem with the Turing Test

NLG article: a detailed survey of the field

Marco planning - what do you want to say?
: Content determination Discourse planning
Micro planning - how will you say it?
: Lexicalization, Aggregation, referring expressions
Realization - what will you actually say?

NLG Application
- Summarization
- Content Creation
- Conversational Interfaces(Chabots)

NLG has two approaches. For example GOFAI techniques such as rules and templates, and the second using a type of Neural Network called a Recurrent Neural Network.

Yufeng interviews Google Research engineer Justin Zhao (Links to an external site.)Links to an external site. to talk NLG and their use of recurrent neural networks
Templates vs. NLG (where NLG means machine learning) by Ehud Reiter

this article by Andrej Karpathy (Links to an external site.)Links to an external site.: simple RNN
excellent article on Github by Christopher Olah (Links to an external site.)Links to an external site. of Google Brain of the issues of RNNs

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