Monte calro localization

Monte calro localization

下のグラフに表示されている星たちです。 ロボットはこの星を目印にして自分の位置を知ります。 今回は星の位置もロボットが覚えている設定です。 ロボットがどんな風に星を見ているのかは、観測モデルのクラスを見てください。

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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IMDb

IMDb

The Fastai.text module introduces several custom tokens.

わかったこと

わかったこと

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Location of Warehouses

Location of Warehouses

A firm has 5 distribution centers and we want to dertermine which subset of these should serve as a site for a warehouse. The goal is the build a minimum number of warehouses that can cover all distribution centers so ...

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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Named Entity Recognition (NER) with TensorFlow

Named Entity Recognition (NER) with TensorFlow

Data is from here https://www.kaggle.com/abhinavwalia95/entity-annotated-corpus/data , download ner_dataset.csv from the ZIP archive.

pipegraph User Guide

pipegraph User Guide

Let's consider a simple example to illustrate the advantages of using Pipeline and GridSearchCV .

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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From the information that it occurs 3 times in 5 years, we estimate how many times a year will occur ...

From the information that it occurs 3 times in 5 years, we estimate how many times a year will occur ...

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I Just Felt Like Running

I Just Felt Like Running

I use Runkeeper on my phone to track GPS coordinates of every run I go on, so in commemoration of an aribtrary set of 365 consecutive days, I thought it'd be cool to take a look at the data.

An introduction to TensorFlow for probabilistic modeling

An introduction to TensorFlow for probabilistic modeling

(This is generally better than using conda because the conda packages were really old when I last checked.)

ベイズ線形回帰

ベイズ線形回帰

$$ \begin{align} y &= \bf{w}^\rm{T} \bf{x} + \varepsilon \\ \varepsilon &\sim \mathcal N(0, \sigma_n^2) \\ \sigma_n^2 &\sim \mathcal {IG}(\frac{\alpha}{2}, \frac{\beta}{2}) \\ \bf{w} &\sim \mathcal N({\bf 0}, {\bf \Sigma_w}) \\ \end{align} $$ と仮定すると,事前分布は $$ \begin{align} p(\sigma_n^2) &= \mathcal {IG}(\frac{\alpha}{2}, \frac{\beta}{2}) \\ ...

View in Colaboratory

View in Colaboratory

An N-body simulation setup resembling section 3 in Malhotra et al. ( https://arxiv.org/abs/1804.01209 ) using the REBOUND integrator ( https://github.com/hannorein/rebound )

7章: 映画の推薦システムを作る

7章: 映画の推薦システムを作る

このノートブックの実行前に、 ./download.sh を実行してください。

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

Delivered by Fastly , Rendered by Rackspace

Pairs Trading Strategy

Pairs Trading Strategy

The principle is as follows: Let's say you have a pair of securities X and Y that have some underlying economic link. An example might be two companies that manufacture the same product, for example Pepsi and Coca Cola. You ...

Get the stock data from Yahoo finance as a CSV for any company.

Get the stock data from Yahoo finance as a CSV for any company.

Drop all other columns (Volume, Year, Month and Day) and retain Open, High and Close - since I'm just predicting the close value for a day

Intro

Intro

For these first cells, we are going to download the SVHN dataset files and preprocess them.

Input/Output

Input/Output

Refer to these cheatsheets: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PandasPythonForDataScience+(1).pdf https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf

Preliminaties

Preliminaties

The RCNN consists of 3 main blocks running sequentially

How to get a sample with a desired mean from an existing random variable?

How to get a sample with a desired mean from an existing random variable?

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Neuronal Dynamics Chapter4 Dimensionality Reduction and Phase Plane Analysis Exercises

Neuronal Dynamics Chapter4 Dimensionality Reduction and Phase Plane Analysis Exercises

a) Draw on the phase plane a schematic representation of the nullclines and flow for the piecewise linear FitzHugh-Nagumo (Eq. 4.36 and Eq. 4.37 ) with parameters $a=c_{1}=-1$ and $b=2$, and mark the stable fixed point.

k-means

k-means

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Block 1: Intro and why are you here

Block 1: Intro and why are you here

Anyone want to do something else? We can likely deal.

Python Basics

Python Basics

**Table of Contents**

JPAD test within Jupyter running a BeakerX Java kernel

JPAD test within Jupyter running a BeakerX Java kernel

JPAD stands for Java Program toolchain for Aircraft Designers . JPAD is a Java software library containing classes and utility functions that can be used to build software systems. Typically, these are calculation programs providing aerodynamic and performance predictions for ...

Complete seaborn tutorial

Complete seaborn tutorial

We'll try to observe relationship between 2 continuous variables: Attack and Defense. We can also differentiate based on a categorical variable i.e. whether the pokemon is legendary or not. For this we can use lmplot() or regplot()

Save the state

Save the state

Import boto3 and AWS create clients.