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Rob Aldridge
Works at GCS Agile
Attended Heatherhill High School
Lives in Melbourne, Victoria
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Rob Aldridge

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The 2nd annual PAPIs.io conference is getting closer. The August 6th & 7th event in Sydney is scheduled right before the KDD conference and it holds the distinction of being the World’s only co...
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PAPIs.io 15 - Sydney has just released a 30% early bird discount which is valid for bookings up until the 3rd of July.   To access this discount please click on the www.PAPIs.io 15 Sydney link contained in our earlier postings relating to the event. 
For those of you who are not sure what to expect please view the short video which features a compilation of previous events, speaker interviews and screen recordings of a few tools and APIs to wet your appetite.  We hope to see you there.
#predictiveanalytics   #Machinelearning  
   http://youtu.be/RFfIj-UtiZY
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Predicting the Belmont Stakes Winner with Machine Learning http://blog.bigml.com/2015/06/05/predicting-the-belmont-stakes-winner-with-machine-learning/
This Saturday Americans will witness the 147th Belmont Stakes, thoroughbred racing’s 3rd and final leg of the highly coveted Triple Crown.  If you follow horse racing, you will know that no horse s...
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GCS Agile Arnie Tuchtan, Sales Director Southern Region, GCS Agile discusses why GCS Agile has selected Yellowfin as a key partner in GCS Agile's BI and data visualization solution offerings.

Yellowfin BI and analytics software was also recently named in DBTA 100 which is the 3rd annual listing of 'the companies that matter most in data'. Magazine editor Joyce Wells said that Yellowfin was selected to appear on the 2015 list for its ability to deliver an innovative range of BI functions via a single integrated platform
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This article by Alex Casalboni offers an informative insight into the BigML platform.
#predictiveanalytics  
http://cloudacademy.com/blog/bigml-machine-learning/
BigML's mission is simple and clear: make Machine Learning easy, beautiful, and understandable for everybody. I'd definitely say they were successful.
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For the statisticians and those of you who have a curiosity around Benford’s Law and fraud/anomaly detection, then you may wish to explore BigML's post on this topic. 
Simply, Benford’s Law identifies the distribution of the first significant digits (100 = FSD of 1, 594 = FSD of 5) of a sequence of numbers, and can detect irregularities (anomalies) in the distribution, which would point to an “unnaturally" generated dataset i.e. arbitrarily chosen by a human (fraud).
#Anomalydetection  
#statistics  
http://blog.bigml.com/2015/05/15/detecting-numeric-irregularities-with-benfords-law/
This is the first post in a series of statistics primers to inaugurate the arrival of BigML's new advanced statistics feature. Depending on your background as a reader, the theory portion of this p...
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Rob Aldridge

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An Executive’s Guide to Machine Learning
It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix. A McKinsey Quarterly article.
http://www.mckinsey.com/Insights/High_Tech_Telecoms_Internet/An_executives_guide_to_machine_learning?cid=Digital-eml-alt-mkq-mck-oth-1506
#Machinelearning  
It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix. A McKinsey Quarterly article.
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BigML may not have been able to accurately predict the winning horse  in the famous American horse race the Belmont Stakes, however the model experiment provided an excellent opportunity for post-mortem analysis on how predictive models can be improved. This posting shares some of the learnings on how to improve your predictive model.  Our Spring Racing Carnival and the Melbourne Cup may provide an excellent opportunity for BigML to restest their model... 
#predictiveanalytics  
#machinelearning  

http://blog.bigml.com/2015/06/11/how-to-improve-your-predictive-model-a-post-mortem-analysis/
Building predictive models with machine learning techniques can be very insightful and provide tremendous business value in optimizing resources that are simply impossible to replicate manually or ...
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 *Announcing the release of PAPIs'15 Sydney Conference Program schedule*. Meet international experts on the 6 - 7th of August for what is bound to be an enlightening event on the latest happenings in predictive technology. Learn how to apply machine learning in your business and the latest advances in Predictive APIs and Apps.

#predictiveanalytics
#machinelearning  

http://www.papis.io/2015?utm_source=PAPIs+%E2%80%94+Predictive+APIs+and+Apps+Conference&utm_campaign=31db39a424-PAPIs+%2715+preliminary+program+announcement&utm_medium=email&utm_term=0_cb6a0dc36e-31db39a424-112770981&mc_cid=31db39a424&mc_eid=76bc149656
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An interesting article into how Insurance companies are utilizing Big Data insights to realise improve business inefficiencies and returns on their analytics investment.
#Bigdata
http://www.insurancenetworking.com/gallery/data-analytics/10-big-guns-of-insurance-big-data-35955-1.html
Insurers are in a great position to lead in getting real business results from big data and analytics investments, as these 10 carriers demonstrate.
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Can Data Analytics be a force multiplier and support the optimization of the limited financial resources of our stretched Police Department budgets?  This article by Alex Woodie from Datanami explores how Deep Learning has assisted the Chicago Police Department in identifying if a crime is going to lead to an arrest with a likelihood of 80%+ accuracy.  A model was created which factored in past crime, arrest statistics and additional data sets that are known to have an impact on crimes - the weather and socioeconomic status, then a deep learning algorithm was set to work in identifying non-linear patterns hidden in the data. The resulting Chicago model was 91% accurate and the San Francisco  model was 95% accurate even without factoring in socioeconomic data sets.  *Was Tom Cruise onto something in the 2002 movie the 'Minority Report"?*
#deeplearning
http://www.datanami.com/2015/05/07/what-police-can-learn-from-deep-learning/utm_source=rss&utm_medium=rss&utm_campaign=what-police-can-learn-from-deep-learning
Police departments are increasingly turning to predictive analytics to help them fight crime, and the early returns are positive, with double-digit drops i
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The "Minority Report" allusion is worth making, and does point to the risks of prejudice, not pre-crime arrests, but harassment based on predictions, which increases alienation and the probability of anti-social activity ... a self-fulfilling prophecy, that actually makes it look as if the original erroneous algorithms and weightings were correct.  Lazy policing is the danger here.  Things will be out of control as soon as outputs from these models have any weight as evidence in a court, or considered sufficient, without other evidence, to be "probably cause".

Where it is used to predict times and places of crimes, there is no problem with that.
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How will Australia's Guy Sebastian fare in the upcoming Eurovision contest? Our partner Yellowfin are already in full data analysis mode. Eshan and Lachlan from Yellowfin have provide us with some Data Visualisation insights.
  #datavisualization  
https://www.yellowfinbi.com/YFCommunityNews-Data-visualization-compares-Eurovision-winners-runners-up-193691
By Eshan Wickrema and Lachlan James Is there really such a thing as bad luck? Or is it just a numbers game? In our last Eurovision data blog – Data visualization reveals most unlucky Eurovision nations, we revealed the nations that have experienced the most Eurovision heartache (finishing ...
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Melbourne, Victoria
Previously
Chennai
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Occupation
Solution Architect
Employment
  • GCS Agile
    Practice Lead, 2014 - present
  • Artis Group
    Technical Lead, 2013 - 2014
  • Praxa Limited
    Senior Consultant, 2008 - 2013
Education
  • Heatherhill High School
    1991
  • Monash University
    Applied Science, 1991 - 1995
    Computer Science, Physics, Machine Vision
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Rob Aldridge's +1's are the things they like, agree with, or want to recommend.
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