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# ### OPTICS
#
#
#
# OPTICS is a variation of D... |
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# # CUHK [STAT3009](https://www.bendai.org... |
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# %matplotlib notebook
import math
import numpy a... |
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sys.path.append('..')
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... |
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import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... |
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# ## Echo top height detection algorithm and c... |
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# $ x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} $
# +
from... |
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# direct to proper path
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# # Poisson Metropolis-Hastings MCMC
#
# Generate samp... |
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# # Работа с Python в Jupyter Notebook
#
# Чтобы созда... |
# # Sample Code
#
# Run this script. Edit it and make it your own.
# +
# matrix_inversion.py
# -------------------------------------------------------------------------
# Invert a simple matrix to solve a system of linear equations.
# -------------------------------------------------------------------------
import n... |
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# ### PRINCIPAL COMPONENT ANALYSIS
# ___
# *From: htt... |
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# # Supervised machine learning on the TCGA Breast Can... |
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# ## Conditions of linear regression
# %matplotlib in... |
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import os
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# # Lesson 15 : Hypothesis Testing
# 
# language: python
# name: scidev
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# # Exploring & Testing Use of NURBS in DIC
# ##... |
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# <small><small><i>
# All the IPython Notebooks in **[... |
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# # Extra Credit (6 pts) - Hidden Markov Models
#
# ##... |
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# + [markdown] deletable=true editable=true
# ## Aim
#... |
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# + [markdown] id="jCN0lBRZhYMF"
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# ## Low-Tubal-Rank Smoothing Tensor Completion Impute... |
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import numpy as np
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# +
# Check basic SPI interface connection
import spid... |
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# # Chapter 4 Exercises
# +
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# + [markdown] id="BxIT9lvqX2Zu"
# # DropoutNet Cold-start Recommendation on ... |
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import SimPEG as simpeg
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# + [markdown] id="view-in-github" colab_type="text"
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# ## Bilbao scheme - Evaluation of the iteration matri... |
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# + id="afc33pNyO4pc" colab_type="code" colab={}
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# # Expectation Maximization for Gaussian Mixture Mode... |
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#本章需导入的模块
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impor... |
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# # Comparing Tikhonet and SCORE
#
# In this Notebook ... |
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# + id="nsMFeu9LAGuZ"
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# + [markdown] id="SR18BUYS61BZ"
# # Assignment 1
#
# ... |
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# # `problink` Example notebook
# This notebook provid... |
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# # Generative Model Classification - Bivariate Gaussian
#
# Our first generative model for Winery classification used just one feature. Now w... |
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# %load_ext nb_black
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# # $k$ Means
#
# This section is the immediate extens... |
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