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Bruce Robbins
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  • London
  • United Kingdom
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Abdurahm liked Bruce Robbins's blog post 5 predictions for 2016 on data, analytics and machine learning
Dec 23, 2016
Abdurahm liked Bruce Robbins's blog post 5 predictions for 2016 on data, analytics and machine learning
Dec 23, 2016
Bruce Robbins liked ajit jaokar's blog post Tutorial - foundations of machine learning and data science for developers
Dec 12, 2016
Bruce Robbins liked Rubens Zimbres's blog post Neural Networks: The Backpropagation algorithm in a picture
Nov 25, 2016
Bruce Robbins liked William Vorhies's blog post A Primer in Adversarial Machine Learning – The Next Advance in AI
Oct 1, 2016
Georges Bressange liked Bruce Robbins's blog post Machine Learning - Some Bones
Jul 16, 2016
Helen Balalian liked Bruce Robbins's blog post Machine Learning - Some Bones
Jul 4, 2016
Bruce Robbins's blog post was featured

Machine Learning - Some Bones

Machine learning is a loose term, it covers many activities. From a software engineering aspect it could be seen as an activity evolved from pattern recognition. It can be even more narrowly viewed as the assignment of a label to a given input value. A system designed to learn from examples would contain a classifier that takes data as input and assigns a label to it as output.X = np.array([[1,2],[5,8],[1.5,1.8],[8,8],[1,0.6],[9,11]])y = [0,1,0,1,0,1]clf = svm.SVC(kernel='linear', C =…See More
Jul 2, 2016
Bruce Robbins posted a blog post

Machine Learning - Some Bones

Machine learning is a loose term, it covers many activities. From a software engineering aspect it could be seen as an activity evolved from pattern recognition. It can be even more narrowly viewed as the assignment of a label to a given input value. A system designed to learn from examples would contain a classifier that takes data as input and assigns a label to it as output.X = np.array([[1,2],[5,8],[1.5,1.8],[8,8],[1,0.6],[9,11]])y = [0,1,0,1,0,1]clf = svm.SVC(kernel='linear', C =…See More
Jul 2, 2016
Bruce Robbins liked Emmanuelle Rieuf's blog post Deep Learning Libraries by Language
Jun 29, 2016
Bruce Robbins liked Diego Marinho de Oliveira's blog post Deep Learning with Professor Geoff Hinton
Jun 29, 2016
Bruce Robbins liked Kirk Borne's blog post Big Data books - Data Science, Analytics, and Machine Learning. Oh my!
Apr 25, 2016
Bruce Robbins commented on Teglor's blog post 15 Deep Learning Libraries
"A very good list"
Apr 12, 2016
Bruce Robbins liked Teglor's blog post 15 Deep Learning Libraries
Apr 12, 2016
Bruce Robbins liked Bernard Marr's blog post Spark Or Hadoop: Which Is The Best Big Data Framework?
Apr 11, 2016
Bruce Robbins liked Peter Chen's blog post Finding Group Structures in Data using Unsupervised Machine Learning
Apr 6, 2016

Profile Information

Short Bio
During the last 19 years producing data-driven applications as an application designer, software engineer, system architect, and data scientist has been a time when interesting development in technology are beginning to open up a whole new era of possibilities. It is good to be able to observe, comment on, and, most importantly deploy the options as they unfold.
My Web Site Or LinkedIn Profile
http://xcipi.io
Professional Status
C-Level
Years of Experience:
35
Your Company:
XCiPi
Industry:
SaaS
Your Job Title:
CEO
How did you find out about DataScienceCentral?
web
Interests:
New venture
What is your Favorite Data Mining or Analytical Website?
http://www.ibmbigdatahub.com/
What Other Analytical Website do you Recommend?
http://rocketdatascience.org/

Bruce Robbins's Blog

Machine Learning - Some Bones

Posted on June 30, 2016 at 12:18am 0 Comments







Machine learning is a loose term, it covers many activities. From a software engineering…

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Safely sharing data through an api with alliance partners.

Posted on March 21, 2016 at 6:00am 0 Comments

The following use case shows how an exchange of clean blended data can simplify the implementation of commercial and strategic alliances between businesses with a common interest.

dlc-3

USE CASE 1

The company is a Professional Sports Club. They operate their own sports stadium which is well…

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5 predictions for 2016 on data, analytics and machine learning

Posted on January 3, 2016 at 5:00am 0 Comments

The first prediction is that data and analytics will continue to grow at an astounding pace and with increased velocity

This is no big surprise as all the past reports have pointed towards this growth and expansion -…

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3 reasons why companies are not engaging with data as much as they ought to

Posted on November 20, 2015 at 1:30am 1 Comment

A look at a number of recent reports and surveys shows that while there is an appetite for using data more wisely, and an intention amongst top executives to use data more there are still many companies not using data as effectively as they could.

According to Hewlett Packard

  • 87% Of enterprises cannot fully exploit their data
  • 85% Cannot Analyse data quickly enough…
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