studyofeverything
studyofeverything
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studyofeverything · 8 years ago
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* operator makes an iterable object be able to be used a collection of arguments of a function.
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studyofeverything · 8 years ago
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studyofeverything · 8 years ago
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studyofeverything · 8 years ago
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A Boltzmann machine is a network of symmetrically connected, neuron-like units that make stochastic decisions about whether to be on or off.
Stochastic decisions
Boltzmann machines have a simple learning algorithm (Hinton & Sejnowski, 1983)
The learning algorithm is very slow in networks with many layers of feature detectors
The learning algorithm is fast in "restricted Boltzmann machines".
Restricted Boltzmann machines  have a single layer of feature detectors
Many hidden layers can be learned efficiently by composing restricted Boltzmann machines.
Boltzmann machines are used to solve two problems: search problems and learning problems.
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studyofeverything · 8 years ago
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A module is loaded only once, regardless of the number of times it is imported. This prevents the module execution from happening over and over again if multiple imports occur.
from module import *
import all names from a module into the current namespace
The order of locating modules
The current directory
If the module isn't found, Python then searches each directory in the shell variable PYTHONPATH.
If all else fails, Python checks the default path. On UNIX, this default path is normally /usr/local/lib/python/.
If a local and a global variable have the same name, the local variable shadows the global variable.
The dir() function
dir() returns a sorted list of strings containing the names defined by a module.
dir(module)
The globals() function
The locals() function
reload() function
How to make a package
In the Phone folder
__init__.py
from Pots import Pots
from Isdn import Isdn
from G3 import G3
Pots.py
Isdn.py
G3.py
You can import the Phone module by
import Phone
Phone.Pots()
Phone.Isdn()
Phone.G3()
from Phone import *
Pots()
Isdn()
G3()
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studyofeverything · 8 years ago
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Video Understanding Startups
Valossa, https://valossa.com/
Viisight, https://www.viisights.com/
Dextro, https://www.dextro.co/
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studyofeverything · 8 years ago
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Autoregressive Models
An autoregressive model is a regression where that a value from a time series is regressed on previous values from that same time series.
The order of an autoregression is the number of immediately preceding values in the series that are used to predict the value at the present time.
A first-order autoregression[autoregressive model] is represented as AR(1).
The value at time t is predicted from the value at time t-1
A second-order autoregression is represented as AR(2).
The value at time t is predicted from the values at time t-1 and time t-2.
References
https://onlinecourses.science.psu.edu/stat501/node/358
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studyofeverything · 8 years ago
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You will choose a 'specialist area' within the programme, which will determine the choice of your optional courses:
Intelligent Robotics
Agents, Knowledge and Data
Machine Learning
Natural Language Processing
You can choose from a variety of optional courses including:
Advanced Vision
Algorithmic Game Theory and Its Applications
Computer Animation and Visualisation
Machine Learning and Pattern Recognition
Natural Language Understanding
Robotics: Science and Systems
Human-Computer Interaction
Software Architecture, Process and Management
Text Technologies for Data Science
Computational Cognitive Neuroscience
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studyofeverything · 8 years ago
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Cut and paste:
Position the cursor where you want to begin cutting.
Press v to select characters, or uppercase V to select whole lines, or Ctrl-v to select rectangular blocks (use Ctrl-q if Ctrl-v is mapped to paste).
Move the cursor to the end of what you want to cut.
Press d to cut (or y to copy).
Move to where you would like to paste.
Press P to paste before the cursor, or p to paste after.
Copy and paste is performed with the same steps except for step 4 where you would press y instead of d:
d stands for delete in Vim, which in other editors is usually called cut
y stands for yank in Vim, which in other editors is usually called copy
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studyofeverything · 8 years ago
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“...if your hard drive is segmented into 512 byte clusters then any files smaller than 512 bytes will still take up the full 512 bytes on the disk.“
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studyofeverything · 8 years ago
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studyofeverything · 8 years ago
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NumPy for Matlab Users
This page gives you what are the differences between NumPy and SciPy.
Contents
Introduction
Some Key Differences
'array' or 'matrix'? Which should I use?
Short answer
Long answer
Facilities for Matrix Users
Table of Rough MATLAB-NumPy Equivalents
General Purpose Equivalents
Linear Algebra Equivalents
Notes
Customizing Your Environment
MATLAB packages/tools and equivalent for use with NumPy
Links
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studyofeverything · 8 years ago
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“현재 미국의 노동 생산성을 100이라 할 때 일본은 78, 한국은 45라고 한다. 같은 양의 노동을 투입해도 우리나라의 최종 생산량이 미국의 절반밖에 되지 않는다는 것이다."
“미국 경제의 생산성이 높은 이유는 말단 직원들이 그다지 똑똑하지 않기 때문이기도 하다. 다시 말해 인재들을 말단 자리에 계속 남겨두지 않는다는 말이다. 미국에선 일단 능력이 확인되면 빠른 시간 내에 발탁되고 승진된다.“
“한국처럼 연공서열에 의존하거나 혈연, 지연, 학연 등 능력 이외의 요인을 중요시하는 사회에서는 인적 자원의 재배치가 훨씬 더디게 되고 결국 생산성을 떨어뜨린다.“
“우리의 생산성이 낮은 이유는 결코 인재풀(pool)이 나빠서가 아닌 것이다. 문제는 같은 인재풀을 가지고도 적재적소에 배치하지 못하는 데 있다. 적재적소에 인재를 배치한다면 경제 전체의 생산성을 충분히 더 높일 수 있다.”
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studyofeverything · 8 years ago
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t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
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studyofeverything · 8 years ago
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심리학에서 구성주의(構成主義, Constructivism)는 인간이 자신의 경험으로��터 지식과 의미를 구성해낸다는 이론이다.
교육학에서는 피교육자들이 교육을 받을 때, 학습 이전의 개념을 토대로 학습이 진행된다는 의미가 된다.
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studyofeverything · 8 years ago
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studyofeverything · 8 years ago
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Sharing to facebook test
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