Voronoi diagram from smooshing paint between glass

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Uma abordagem original aos diagramas de Voronoi.

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curso de KNIME

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Muito bom curso de KNIME, é introdutório mas introduz um grande número de funcionalidades.

KNIME Online Self-Training

Welcome to the KNIME Self-training course. The focus of this document is to get you started with KNIME as quickly as possible and guide you through essential steps of advanced analytics with KNIME. Optional and very useful topics such as reporting, KNIME Server and database handling are also included to give you an idea of what else is possible with KNIME.

  1. Installing KNIME Analytics Platform and Extensions
  2. Data Import / Export and Database / Big Data
  3. ETL
  4. Visualization
  5. Advanced Analytics
  6. Reporting
  7. KNIME Server

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SAP video analytics

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montes de vídeos sobre analytics da SAP
Digital Enterprise Platform
SAP Digital Business Services
SAPIndustry
SAPLineOfBusiness

SME Solutions and Partner Innovation

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Hackers Remotely Kill a Jeep on the Highway

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Um exemplo dos problemas de segunrança ainda existentes no IoT.

Publicado a 21/07/2015

Two hackers have developed a tool that can hijack a Jeep over the internet. WIRED senior writer Andy Greenberg takes the SUV for a spin on the highway while the hackers attack it from miles away.

Guardar

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Best Data Science Learning podcasts

KDnuggets

Muito bons podcasts tem temas introdutórios

We present the top 12 Data Science & Machine Learning related Podcasts by popularity on iTunes. Check out latest episodes to stay up-to-date & become a part of the data conversations!

By Bhavya Geethika Peddibhotla.

Learn Data science the new way by listening to these compelling story tellers, interviewers, educators and experts in the field. Data suggests that podcasting about Data Science is only growing!

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Straightforward Statistics Videos

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Montes de vídeos sobre todos os temas abordados em P&E

Video and Multimedia

Click on the following links. Please note these will open in a new window.

Descriptive Versus Inferential Statistics
https://www.youtube.com/watch?v=edEXEyvG4Wk
Illustrates the differential purposes served by descriptive and inferential techniques in conducting statistical analyses.

https://www.youtube.com/watch?v=L6hy1CY-OW4
Practical examples of descriptive and inferential statistics

https://www.youtube.com/watch?v=be9e-Q-jC-0
Simple Random Sampling, Convenience Sampling, Systematic Sampling, Cluster Sampling, Stratified Sampling

Types of Variables
https://www.youtube.com/watch?v=hZxnzfnt5v8
Describes the concepts of; a) unit of observation and b) variables and consequently the differences amongst the three major levels of measurement of variables, nominal, ordinal and interval/ratio.

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KNIME Image Processing (trusted extension)

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Apenas um exemplo das fantásticas possibilidades do KNIME

KNIME Image Processing (trusted extension)

Fri, 12/03/2010 – 13:09 — knime_admin


Overview

The KNIME Image Processing Plugin allows you to read in more than 120 different kinds of images (thanks to the Bio-Formats API) and to apply well known methods on images, like preprocessing. segmentation, feature extraction, tracking and classification in KNIME. In general these nodes operate on multi-dimensional image data (e.g. videos, 3D images, multi-channel images or even a combination of them), which is made possible by the internally used ImgLib2-API.

Several nodes are available to calculate image features (e.g. zernike-, texture- or histogram features) for segmented images (e.g. a single cell). These feature vectors can then be used to apply machine learning methods in order to train and apply a classifier.

Currently the Image Processing Plugin for KNIME provides ca. 100 nodes for (pre)-processing, filtering, segmentation, feature extraction, various views (2D, 3D), etc. and integrations for various other image processing tools are available (see used and integrated libraries)

Future directions include a full, bidirectional integration of ImageJ2. Such an integration allow the users to use directly use/update ImageJ2 Plugins inside KNIME as well as recording and running KNIME Workflows in ImageJ2. Please see ImageJ2 Integration (BETA) for more information.

For the first steps please consider the KNIME Image Processing User Manual (incomplete draft!).

Important Links

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What is Data Virtualization?

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Muito clara introdução ao tema da virtualização de dados.

What is Data Virtualization?

5 882

0:00
Hi I’m Jared Hillam, There are a lot of parts and components that
0:04
go into accurately gathering data. However, at the heart of any well-crafted solution
0:10
is the data integration and query logic. This is the logic that tells the database what
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data is being requested and how to process it. Where that logic exists turns out to be
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a very important topic when all is said and done as you’ll find in this video. To illustrate
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this let me share with you an example. Many years ago I worked for a software company
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that sought out to fix a common problem found in Operational Reporting. We developed a product
0:36
that allowed you to open 1000s of operational reports and edit all of them at once. Why

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Best Uses of Data Visualization

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Um curto mas bom vídeo sobre as várias facetas da visualização de dados.

Best Uses of Data Visualization
February 1, 2015

Data visualizations are everywhere these days, and why? Think of data visualization as information at a glance, a kind of language of statistics for the eyes.

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khanacademy: Lei dos grandes números

Boas aulas de video em pt sobre a lei dos grandes números

Boas aulas de video em pt sobre a lei dos grandes números

Vídeo original: Law of Large Numbers (https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/law-of-large-numbers) A Khan Academy Portugal disponibiliza explicações online de Matemática gratuitas desde o 1º até ao 12º ano de escolaridade. Este vídeo foi produzido pela Khan Academy e traduzido para português pela Fundação Portugal Telecom (ver todos os vídeos disponíveis em http://fundacao.telecom.pt/khanacademy).

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