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Max Hemingway

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Max Hemingway

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Correlation does not imply causation

10 Tuesday Mar 2015

Posted by Max Hemingway in Data Science

≈ 1 Comment

Tags

Data Science, learning

Watching different Data Science & Statistics training videos one statement that comes up often is “Correlation does not imply causation”.

Wikipedia defines this as:

Correlation does not imply causation is a phrase used in science and statistics to emphasize that a correlation between two variables does not necessarily imply that one causes the other.

The xkcd comic site has a great strip on the subject

correlation

To illustrate this further, there are a number of Graphs that have been put together that visualise why Correlation does not imply causation.

graph

If however Mozzarella Cheese is ever found as a link to Engineering Doctorates it will be time to by shares in the cheese manufacturing companies as sales would soar!

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Data Science in the Cloud ebook

09 Monday Mar 2015

Posted by Max Hemingway in Cloud, Data Science

≈ 1 Comment

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Cloud, Data Science

Microsoft have released a free e-book to download about using Data Science, R and Azure ML (Machine Learning).

Data Science in the Cloud with Microsoft Azure Machine Learning and R

The topics in the book cover:

  • Data management with Azure ML.
  • Data transformation with Azure ML and R.
  • Data I/O between Azure ML and the R Scripts.
  • R graphics with Azure ML.
  • Building and evaluating machine learning models with Azure ML and R.
  • Publishing Azure ML models as a web service.

Added to my every increasing pile of things to read.

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Course on Data Analysis and Statistical Inference

06 Friday Mar 2015

Posted by Max Hemingway in Data Science

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Data Science, learning, R

Scanning my daily feeds from feedly I came across this post about a new Data Analysis and Statistical Inference course on Coursera that has just started this week. looks to be a good grounding on the subject.

The course is split into 7 modules

  • Unit 1 – Introduction to data
  • Unit 2 – Probability and distributions
  • Unit 3 – Foundations for inference
  • Unit 4 – Inference for numerical variables
  • Unit 5 – Inference for categorical variables
  • Unit 6 – Introduction to linear regression
  • Unit 7 – Multiple linear regression

The timetable of work over 10 weeks

Week 1: Introduction to Data, March 2 – 9

Review the START HERE! pages
Review Learning Objectives for Unit 1
Watch the videos for Unit 1 Introduction to Data
Start Quiz 1 — due at 13:00 EST (-5:00), Monday, March 16
Begin Lab 0 — due at 13:00 EST (-5:00), Monday, March 16, this lab is not graded (for practice)
Begin Lab 1 — due at 13:00 EST (-5:00), Monday, March 16
Explore the Discussion Forums and contribute
Week 2: Probability and Distributions, March 9 – 16

Review Learning Objectives for Unit 2
View videos for Unit 2 Probability and Distributions
Start Quiz 2 — due at 13:00 EST (-5:00), Monday, March 23
Begin Lab 2 — due at 13:00 EST (-5:00), Monday, March 23
Explore the Discussion Forums and contribute
Begin your Project Proposal — due at 13:00 EST (-5:00), Monday, March 23
Complete Quiz 1 — due at 13:00 EST (-5:00), Monday, March 16
Complete Lab 0 and Lab 1 — due at 13:00 EST (-5:00), March 16
Week 3: Foundations for Inference, March 16 – 23

Review Learning Objectives for Unit 3
View videos for Unit 3 Foundations for Inference
Start Quiz 3 — due at 13:00 EST (-5:00), Monday, March 30
Begin Labs 3A and 3B — due at 13:00 EST (-5:00), Monday, March 30
Explore the Discussion Forums and contribute
Submit your Project Proposal before 13:00 EST (-5:00), Monday, March 23
Complete Quiz 2 — due at 13:00 EST (-5:00), Monday, March 23
Complete Lab 2 — due at 13:00 EST (-5:00), Monday, March 23
Week 4: Foundations for Inference and Midterm, March 23 – 30

No new materials
Review Learning Objectives for Unit 3
Complete videos for Unit 3 Foundations for Inference
Complete Quiz 3 — due at 13:00 EST (-5:00), Monday, March 30
Complete Lab 3A and 3B — due at 13:00 EST (-5:00), Monday, March 30
Begin assessing Project Proposals — due 13:00 EST (-5:00), Monday, April 6
Begin Midterm — due 13:00 EST (-5:00), Monday, April 6
Week 5: Statistical Inference for Numerical Variables, March 30 – April 6

Review Learning Objectives for Unit 4
View videos for Unit 4 Statistical Inference for Numerical Variables
Start Quiz 4 — due at 13:00 EST (-5:00), Monday, April 13
Begin Lab 4 — due at 13:00 EST (-5:00), Monday, April 13
Explore the Discussion Forums and contribute
Complete Project Proposal assessments — due 13:00 EST (-5:00), Monday, April 6
Complete Midterm — due 13:00 EST (-5:00), Monday, April 6
Please submit at least 3 hours before the deadline
Week 6: Statistical Inference for Categorical Variables, April 6 – 13

Review Learning Objectives for Unit 5
View videos for Unit 5 Statistical Inference for Categorical Variables
Start Quiz 5 — due at 13:00 EST (-5:00), Monday, April 20
Begin Lab 5 — due at 13:00 EST (-5:00), Monday, April 20
Begin Data Analysis Project — due at 13:00 EST (-5:00), Monday, April 20
Explore the Discussion Forums and contribute
Complete Quiz 4 — due at 13:00 EST (-5:00), Monday, April 13
Complete Lab 4 — due at 13:00 EST (-5:00), Monday, April 13
Week 7: Simple Linear Regression, April 13 – 20

Review Learning Objectives for Unit 6
View videos for Unit 6 Simple Linear Regression
Start Quiz 6 — due at 13:00 EST (-5:00), Monday, April 27
Begin Lab 6 — due at 13:00 EST (-5:00), Monday, April 27
Explore the Discussion Forums and contribute
Complete Quiz 5 — due at 13:00 EST (-5:00), Monday, April 20
Complete Lab 5 — due at 13:00 EST (-5:00), Monday, April 20
Complete Data Analysis Project — due at 13:00 EST (-5:00), Monday, April 20
Week 8: Multiple Linear Regression, April 20 – 27

Review Learning Objectives for Unit 7
View videos for Unit 7 Multiple Linear Regression
Start Quiz 7 — due at 13:00 EST (-5:00), Monday, May 4
Begin Lab 7 — due at 13:00 EST (-5:00), Monday, May 4
Explore the Discussion Forums and contribute
Begin review of Data Analysis Project due at 13:00 EST (-5:00), Monday, May 4
Complete Quiz 6 — due at 13:00 EST (-5:00), Monday, April 27
Complete Lab 6 — due at 13:00 EST (-5:00), Monday, April 27
Week 9: Review and catch up, April 27 – May 4

Note that all assignment due times are now in Eastern Standard Time (EST)
View review videos
Complete Quiz 7 — due at 13:00 EST (-5:00), Monday, May 4
Complete Lab 7 — due at 13:00 EST (-5:00), Monday, May 4
Explore the Discussion Forums and contribute
Complete review of Data Analysis Project — due at 13:00 EST (-5:00), Monday, May 4
Final exam is available this week — due 13:00 EST (-5:00), Monday, May 11
Week 10: Final Exam, May 4 – 11

(Source: https://www.coursera.org/course/statistics)

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A to Z of some useful R Packages

04 Wednesday Mar 2015

Posted by Max Hemingway in Uncategorized

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This is a list of some of the useful R packages that you can add to R. There are lots more available outside of this list on CRAN

A – audio

Interfaces to audio devices (mainly sample-based) from R to allow recording and playback of audio. Built-in devices include Windows MM, Mac OS X AudioUnits and PortAudio (the last one is very experimental).

Source: http://cran.r-project.org/web/packages/audio/audio.pdf

Package: http://www.rforge.net/audio/

B – blighty

Function for drawing the coastline of the British Isles

Source: http://cran.r-project.org/web/packages/blighty/blighty.pdf

Package: CRAN

C – colorRamps

Builds gradient color maps

Source: http://cran.r-project.org/web/packages/colorRamps/colorRamps.pdf

Package: CRAN

D –dice

This package provides utilities to calculate the probabilities of various dicerolling events, such as the probability of rolling a four-sided die six times and getting a 4, a 3, and either a 1 or 2 among the six rolls (in any order); the probability of rolling two six-sided dice three times and getting a 10 on the first roll, followed by a 4 on the second roll, followed by anything but a 7 on the third roll; or the probabilities of each possible sum of rolling five six-sided dice, dropping the lowest two rolls, and summing the remaining dice.

Source: http://cran.r-project.org/web/packages/dice/dice.pdf

Package: CRAN

E –etable

Easy Table. A table function for descriptive statistics in tabular format, using variables in a data.frame. You can create simple or highly customized tables

Source: http://cran.r-project.org/web/packages/etable/etable.pdf

Package: CRAN

F – fun

This is a collection of R games and other funny stuff, such as the classical Mine sweeper and sliding puzzles.

Source: http://cran.r-project.org/web/packages/fun/fun.pdf

Package: https://github.com/yihui/fun

G – ggplot2

An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes

Source: http://cran.r-project.org/web/packages/ggplot2/ggplot2.pdf

Package:

H – htmlwidgets

A framework for creating HTML widgets that render in various contexts including the R console, R Markdown documents, and Shiny web applications.

Source: http://cran.r-project.org/web/packages/htmlwidgets/htmlwidgets.pdf

Package: CRAN

I – Imap

Zoom in and out of maps or any supplied lines or points, with control for color, poly fill, and aspect.

Source: http://cran.r-project.org/web/packages/Imap/Imap.pdf

Package: CRAN

J – JavaGD

Graphics device routing all graphics commands to a Java program. The actual functionality of the JavaGD depends on the Java-side implementation. Simple AWT and Swing implementations are included.

Source: http://cran.r-project.org/web/packages/JavaGD/JavaGD.pdf

Package: http://www.rforge.net/JavaGD/

K – klaR

Miscellaneous functions for classification and visualization.

Source: http://cran.r-project.org/web/packages/klaR/klaR.pdf

Package: CRAN

L – lattice

Lattice is a powerful and elegant high-level data visualization system, with an emphasis on multivariate data, that is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.

Source: http://cran.r-project.org/web/packages/lattice/lattice.pdf

Package: http://lattice.r-forge.r-project.org/

M – mmap

R interface to POSIX mmap and Window’s MapViewOfFile

Source: http://cran.r-project.org/web/packages/mmap/mmap.pdf

Package: CRAN

N – netsim

NetSim allows to combine and simulate a variety of micromodels to research their impact on the macro-features of social networks.

Source: http://cran.r-project.org/web/packages/NetSim/NetSim.pdf

Package: CRAN

O – orderbook

Functions for visualizing and retrieving data for the state of an orderbook at a particular period in time.

Source: http://cran.r-project.org/web/packages/orderbook/orderbook.pdf

Package: CRAN

P – plusser

plusser provides an API interface to Google+ so that posts, profiles and pages can be automatically retrieved

Source: http://cran.r-project.org/web/packages/plusser/plusser.pdf

Package: http://kdss.at/  or CRAN

Q – qgraph

The qgraph package can be used to visualize data as networks as well as provides an interface for visualizing weighted graphical models.

Source: http://cran.r-project.org/web/packages/qgraph/qgraph.pdf

Package: http://sachaepskamp.com/qgraph

R – rtf

A set of R functions to output Rich Text Format (RTF) files with high resolution tables and graphics that may be edited with a standard word processor such as Microsoft Word.

Source: http://cran.r-project.org/web/packages/rtf/rtf.pdf

Package: CRAN

S – sphereplot

Various functions for creating spherical coordinate system plots via extensions to rgl.

Source: http://cran.r-project.org/web/packages/sphereplot/sphereplot.pdf

Package: CRAN

T – twitteR

Provides an interface to the Twitter web API.

Source: http://cran.r-project.org/web/packages/twitteR/index.html

Package: http://lists.hexdump.org/listinfo.cgi/twitter-users-hexdump.org

U – useful

A set of little functions that have been found useful to do little odds and ends, such as@

  • Binary.flip
  • Bottomleft
  • Bottomright
  • Build.forumla
  • Corner
  • MaptoInterval
  • plotTimeSeries

Source: http://cran.r-project.org/web/packages/useful/useful.pdf

Package: CRAN

V – visreg

Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R (lm, glm, coxph, rlm, gam, locfit, etc.)

Source: http://cran.r-project.org/web/packages/visreg/visreg.pdf

Package: http://myweb.uiowa.edu/pbreheny/publications/visreg.pdf

W – webvis

Uses Protovis to provide web graphics for R (exposes most low-level functions). Package is still under active development and shouldn’t be considered stable until version 0.1. Currently uses a web browser to process JavaScript, although future version will process JavaScript directly and return the SVG output. Also does not properly support discrete labels (e.g. with histograms) or statistical functions

Source: http://cran.r-project.org/web/packages/webvis/webvis.pdf

Package: http://code.google.com/p/rwebvis/

X – XML

This package provides many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. It also offers access to an XPath “interpreter”

Source: http://cran.r-project.org/web/packages/XML/XML.pdf

Package: http://www.omegahat.org/RSXML

Y – yhat

The purpose of this package is to provide methods to interpret multiple linear regression and canonical correlation results including beta weights,structure coefficients, validity coefficients, product measures, relative weights, all-possible-subsets regression, dominance analysis, commonality analysis, and adjusted effect sizes.

Source: http://cran.r-project.org/web/packages/yhat/yhat.pdf

Package: http://www.r-project.org

Z – zoom

zm(), called with any active plot allow to enter an interactive session to zoom/navigate any plot.

Source: http://cran.r-project.org/web/packages/zoom/zoom.pdf

Package: https://github.com/cbarbu/R-package-zoom

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Recording your CPD

02 Monday Mar 2015

Posted by Max Hemingway in Productivity

≈ 8 Comments

Tags

CPD, learning, Productivity

There are many methods for recording your CPD (Continuous Professional Development) plans available on the internet and through various professional bodies.

For me I prefer a Spreadsheet with a few column headings. Its what goes into those headings that makes the record though:

Date

Date the training took place

Training

This is the title of the training and any course number/reference

Category

I split the training up into various categories such as:

  • Architecture Training
  • Finance
  • Innovation
  • Leadership
  • Security
  • Strategy
  • Technical Training
  • Vendor Training

Sub Category

Under each of the Categories I then divide into a number of Sub Categories so I can view how much training I have undertaken on a particular subject. These can vary as each Category can have many Sub Categories, however I do not split more than around 5 per one Category.

For example I split Leadership into:

  • Communication
  • Emotional & Business Intelligence
  • Engagement
  • Leadership
  • Staff Management

Source

This is normally a URL or name of site/book

Training Type

This is the type of training such as:

  • MOOC
  • Online Class
  • Replay
  • Webinar

Time

This is the length of time that you spend learning. Even a 5 minute video here and there on a subject you are learning adds up.

Key Learning

Under this heading I list the key points from the training as a reminder as to the learning points. Bit like a flash card. This is normally a list of the key points.

Using a CPD Cycle reminds me to reflect on what I have learnt and how I will apply it. Also what I need to relearn or expand on in future training.

CPD Cycle

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Architecture Journals

27 Friday Feb 2015

Posted by Max Hemingway in Architecture, Enterprise Architecture

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Architecture, Enterprise Architecture

Between 2004 and 2009 Microsoft published The Architecture Journal. A few years old now, there are some useful articles in the Journals that still apply today.

You can download the Journals or view the individual Articles in the Archive.

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A good example of Enterprise Architecture doumentation

26 Thursday Feb 2015

Posted by Max Hemingway in Architecture, Enterprise Architecture

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Architecture, Enterprise Architecture

BooksThere are many good examples of Enterprise Architecture documentation available as reference on the Internet. All following different methodologies, but ultimately illustrating how an Enterprise Architecture documentation set can assist in driving strategy and the business forward.

A bit dated now (2004), but a good example of such a document set is the 5 volumes from NASA.

NASA Enterprise Architecture Vol 1 – NASA Enterprise Architecture

NASA Enterprise Architecture Vol 2 – Office Automation, IT Infrastructure, and Telecommunications

NASA Enterprise Architecture Vol 3 – Program Unique IT and Multi-Program / Project IT Investment Category

NASA Enterprise Architecture Vol 4 – Strategies and Structure

NASA Enterprise Architecture Vol 5 NASA To-Be Architecture, Approach to Design and Implementation

The documents are based on the Federal Enterprise Architecture Framework

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Enterprise Architecture – Wikipedia Book

25 Wednesday Feb 2015

Posted by Max Hemingway in Architecture, Enterprise Architecture

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Architecture

A while ago I created a book on Wikipedia on Enterprise Architecture (Back in August 2009) using Wikipedia Books. This is a function to pull together articles from Wikipedia together in a book format, then download as a PDF or even send to get printed.

I haven’t got far with the printing aspect on this book, although I did pull together some articles on a different subject and sent that to be printed. I was happy with the bound book that came back from the service and it was a reasonable cost.

Thought I would go back and revisit the book and see where it is up to today.

Available at https://en.wikipedia.org/wiki/Book:Enterprise_Architecture

I have created this as an open book so it can be added to should anyone wish to assist in collating relevant articles.

The current index is made up of following articles:

Enterprise Architecture

Enterprise architecture
Enterprise Architect
Enterprise architect
Enterprise Architecture
Enterprise Architecture Assessment Framework
Enterprise architecture planning
Enterprise Architecture Management
Architecture Patterns ( EA Reference Architecture)
Frameworks
Enterprise Architecture framework
Open Source or Consortia-developed frameworks
Enterprise Architecture Body of Knowledge
Generalised Enterprise Reference Architecture and Methodology
IDEAS Group
RM-ODP
The Open Group Architecture Framework
Commercial frameworks
Integrated Architecture Framework
OBASHI
Information Framework
Zachman Framework
Defense industry frameworks
Department of Defense Architecture Framework
MODAF
NATO Architecture Framework
AGATE Architecture Framework
Government frameworks
Government Enterprise Architecture
FDIC Enterprise Architecture Framework
Federal Enterprise Architecture
NIST Enterprise Architecture Model
Treasury Enterprise Architecture Framework
Lifecycles
Enterprise life cycle
ISO 12207
Systems Development Life Cycle
Technology Life Cycle
Whole-life cost
Modelling
Enterprise modelling
Collaboration
Business analyst
Systems analysis
Information architecture
Solutions Architect
Software architect
Systems architect
Project manager
Project management office
Chief information officer

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Architecture Thought Tool: Working out your Risks

24 Tuesday Feb 2015

Posted by Max Hemingway in Architecture, Enterprise Architecture, Governance, Productivity, Tools

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Architecture, Productivity, Tools

An Architecture Thought Tool I use when looking to identify any Risks in a projects or assignment is to use the STORMCLOUD method.

This involves identifying the risks by going through the following areas:

  • ScheduleRisk
  • Technology
  • Organisation
  • Resources
  • Methods
  • Compatibility
  • Lifecycle
  • Over-engineering
  • Users
  • Dependencies
  • Suppliers

Once identified its then a case of mitigating the risks that can be and calling out those that cannot.

Using this method is just one of many, but helps focus on the important areas to consider.

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Data Scientist Job Titles, Architecture and Software Warlocks

23 Monday Feb 2015

Posted by Max Hemingway in Architecture, Data Science

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Architecture, Data Science

An interesting piece of research on Data Scientist Job Titles has been carried out from data on LinkedIn of over 10,000 professionals.

The data splits out into 11 categories listing 700+ Job Titles:

  • Recruiter
  • Engineering
  • Developer
  • Data Plumbing
  • Data Science
  • Statistician
  • Research
  • Business Analytics
  • Consultant
  • Trainer
  • Student

The raw data is available to play with. I have been looking at the Architecture job titles that fall into the “Data Plumbing” category to initially have a view of Architecture Roles within Data Science and what that means. I will continue this research and blog later about it.

Architect

As a bit of fun if you want a generated Job Title, one app to try is this one – Generate a Job Title for you comes up with “Your Silicon Valley job title is……..”

My favourite Generation is the “Software Warlock”

Software Warlock

A close second is  “Grand Poobah of Digital Innovation”

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