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Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.
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Andrew Love's profile photo
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Actually, 9 Python books worth reading.
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Big Data for Directories--a whole new way of storing and searching identity information. Register today! #Bigdata #LDAP #HDAP #hadoop #Lucene #IAM #Identity  
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Giovanni Martini's profile photo
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I also invite you to post great articles on our websites: DataScienceCentral, AnalyticBridge, BigDataNews and Hadoop360. Top contributors will received a free copy of the book, signed by the author.
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aurobind enugala's profile photoIgor Vasilchikov's profile photo
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Washington D.C. Data Mining training TOMORROW --> 2 seats left. Register online http://hub.am/1lrjd7S
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Mykola Aleshchanov's profile photo
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Can the United Nations handle 'big data'?
"GIS for the UN", Geneva, 7-9 April
The Guardian notes: "Geolocation data in the wrong hands, or used the wrong way, can just as easily be used to harm individuals as it can to help them."
James Cockayne, UNU, October 2013:
Key steps the UN might take include:
• Developing a system-wide policy framework for UN data protection and security, drawing on relevant human rights and protection practice.
• Incorporating ICT goals into the post-2015 development agenda, both as goals for ICT development, and in the framework for monitoring progress.
• Exploring the development of a UN-wide cloud-based data verification system.
And so it is: next week the conference GIS for the United Nations and the International Community will be held at the headquarters of the International Telecommunications Union, in Switzerland:  http://gisfortheun.com/
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Mykola Aleshchanov's profile photoJean-Bernard DIEN's profile photo
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BigQuery, Google’s cloud-based tool for quickly analyzing very large datasets, is getting a massive price cut today (up to 85 percent). But Google is also adding an important new feature that will make it more competitive with the big data service offered by Amazon Kinesis and others. Starting soon, developers will be able to send up to 100,000 rows of real-time data per second to BigQuery and analyze it in near real time.
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Very interesting... this book is the volume # 31 in the series "Handbook of Statistics" edited by C.R. Rao and V. Govindaraju. The series started well before I completed my PhD in 1993, and obviously, they believe machine learning is a sub-domain of statistics. This might be the most comprehensive attempt at producing an exhaustive resource for statistician, with more than 10,000 pages to date.

Second interesting fact: I purchased the book on Amazon for less than $100, last week. Now when I check it, it is listed at $184.35. Amazon doing customized pricing? Really strange. Anyway, here's the official comments about the book:
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Hi all, just launched a service and your feedback would be more than appreciated :D

"We have reinvented the newspaper in the form of the most advanced newsletter harvested from the world's news and tailored for you."
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 Realizing the need for #bigdata in the #fracking and #drilling industry and how it is being transformed by it! #oil #oilandgas #energy  
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If you've worked on a cool example of mining data for analysis, prediction and/or boosting the bottom line (that you can talk about :-) ), +Computerworld is looking to showcase some innovative case studies in our Aug. 25, 2014, issue and at the Data+ Conference (Sept. 7-9, 2014 in Phoenix, Ariz). To suggest a case study, please go to https://www.computerworld.com/2014data+casestudy 

Deadline is Thurs April 24
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Folks, take advantage of this informative summit.

- Understand how to combat Data Privacy & Security challenges in an ever changing threat landscape
- Hear how to overcome data integration challenges for application-to-application integration and consolidation whether on premise or in the Cloud
- Learn how to govern and exploit exploding data volumes with your existing infrastructure and resources
- Ask the experts: Explore how to meet directives such as Cloud First, Shared Services, Big Data Analytics, and Data Center Consolidation
- Network with other public sector customers and meet key technology providers and consultants from the Informatica ecosystem
 
Mark Your Calendar for the 2014 Government Summit http://bit.ly/1f3GV40 #govIT
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How to EDIT ORACLE table with Microsoft EXCEL - check this out !! 
http://youtu.be/shYiN2pnPbA
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LeanSoftwareLtd's profile photoRichard Briggs's profile photo
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EDT will allow you easily work with batches of 30k+ rows in one session.  As mentioned - task parameters can be used to prompt the user on task load  for any data range you wish to define.
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Edd Dumbill
owner

Announcements  - 
 
Happy to announce that +Steve Sether and +Amit kumar Singh are joining me as moderators of this community. We'll be trying to improve the signal to noise ratio!
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My review of #DataSmart  book from John Foreman.
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Tyler Berger's profile photoChris Vento's profile photo
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Vincent Granville

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Big data has moved beyond the big hype. Case studies showing structured and unstructured data can generate ROI, profit and value are ever increasing, but how do you execute a data strategy when you’re juggling the moving part of architecture, analytics, strategy, process, technology, internal resources and insight?
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Guy Bilodeau's profile photoGebeyehu B. Amha's profile photo
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Sharon Machlis

Announcements  - 
 
Johns Hopkins is launching a nine-course Data Science track at Coursera. More details here:

http://bit.ly/1gtwGvc

The first three classes start April 7 and run for four weeks:

The Data Scientist’s Toolbox
Upon completion of this course you will be able to identify and classify data science problems. You will also have created your Github account, created your first repository, and pushed your first markdown file to your account.

R Programming
The course will cover the following material each week:
  Week 1: Overview of R, R data types and objects, reading and writing data
  Week 2: Control structures, functions, scoping rules, dates and times
  Week 3: Loop functions, debugging tools
  Week 4: Simulation, code profiling

Getting and Cleaning Data
Upon completion of this course you will be able to obtain data from a variety of sources. You will know the principles of tidy data and data sharing. Finally, you will understand and be able to apply the basic tools for data cleaning and manipulation.

While the listing shows each class costs $49, you can take all the classes for free except for participating in the final Capstone project. Also, if you want a completion certificate, you need to pay.

Note that you don't need to take all the classes, if just one or two interest you, although you should have needed knowledge for the later classes if you haven't taken the earlier courses.
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Jacob Kreider's profile photoShane Morris's profile photo
 
I saw that last month.  Planning to sign up for the first couple courses to check it out.
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Stian Håklev

Announcements  - 
 
The Learning Analytics conference is right now happening in Indianapolis, a great mix of education scholars, machine learning experts, MOOC analysts, etc. I'm taking notes and sharing them on my wiki (http://reganmian.net/wiki/lak14:start). Doug Clow is collecting live blogs (http://dougclow.org/lak14/), and you can follow the #LAK14 hashtag. Program: http://lak14indy.wordpress.com/
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