Python による科学技術計算の概要 - Kamishima

転移学習のサーベイ - kamishima.net

目標ドメイン target domain 元ドメイン source domain 転移学習 (transfer learning) 2 統一された形式的定義なく，おおまかに次のようなもの

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Python による科学技術計算の概要 - kamishima.net

このチュートリアルについて 2 プログラミング言語 Python Perl，Ruby，PHP と同様のスクリプト言語 1991年2月に Guido van Rossum（現 DropBox）が0.9.0を発表

クラスタリング - kamishima.net

クラスタリングと分類 4 分類・識別・クラス分類 classification, discrimination ニュース記事 政治 経済 社会 … スポーツ

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頻出パターンマイニング - kamishima.net

頻出パターンマイニング 2 頻出パターン データ集合の要素アイテム集合，系列データ，時系列，木，グラフ…

教師ありクラスタリング - kamishima.net

絶対/相対クラスタリング 3! ( x ) クラスタリング関数 は，対象集合 x をクラスタリングして分割を出力 教師ありクラスタリングとは，対象集合と教示情報か

Scikit-learn: Machine Learning in Python

numpy and scipy to facilitate easy distribution, unlike pymvpa (Hanke et al., 2009) that has optional dependencies such as R and shogun, and iv) it focuses on imperative programming, unlike pybrain which uses a data-flow framework. While the package is …

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Parallel Computing in Python using mpi4py

$ conda create -n mpi mpi4py numpy scipy Already installed on Omega and Grace clusters: $ module load Langs/Python $ module load Libs/MPI4PY $ module load Libs/NUMPY $ module load Libs/SCIPY S. Weston (Yale)Parallel Computing in Python using mpi4pyJune 2017 6 / 26

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Lab 9: FTT and power spectra - Claremont Colleges

import numpy.fft as fft Thus, the command for determining the FFT of a signal x(t)becomes fft.fft(x). Of course, you could import the fft-package from numpy under a different name; however, this might make the program less readable by others. Other functions related to the use of the FFT are located in scipy such as the library signal, i.e.

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Maths with Python Documentation - Read the Docs

• numpy • matplotlib • scipy • spyder • spyder-app • sympy Other packages that will be useful are • jupyter • nose • numba • pandas The command to install new packages is conda install. So, to install the packages above type (or copy and paste) first activate labs if on Windows, or sourceactivate labs if on Mac or Linux ...

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scikit-learn

Chapter 1: Getting started with scikit-learn Remarks scikit-learn is a general-purpose open-source library for data analysis written in python. It is based on other python libraries: NumPy, SciPy, and matplotlib scikit-learncontains a number of implementation for different popular algorithms of machine learning.

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Machine Learning with Python - Tutorialspoint

aware of Python, NumPy, Scikit-learn, Scipy, Matplotlib. If you are new to any of these concepts, we recommend you to take up tutorials concerning …

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Think Bayes - Green Tea Press

Think Bayes Bayesian Statistics Made Simple ersioVn 1.0.9 Allen B. Downey Green Tea Press Needham, Massachusetts