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Python Is Not C
Update on December 8, 2015. An updated version of this post is available at Python Is Not C: Take Two . I have been using Python a lot lately, for various data science projects. Python is known for its ease of use. Someone with coding...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


No, The TSP Isn't NP Complete
Two recent blog posts discussing the Traveling Saleman Problem (TSP) led me to write this post. The two blog posts are What is Operations Research by Graham Kendall, and I’ve Been Everywhere (Optimally…) ...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


The Role Of Data Science
I am sure I'll get flamed for this post, given how hyped data science is. Let me first say that I do not pretend to define what data science is, others, probably more qualified than me, have done it well. For instance, I like this...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


How Zara Really Grew Into the World s Largest Fashion Retailer
The New York Times recently published an interesting paper on How Zara Grew Into the World’s Largest Fashion Retailer . The paper describes the Fast Fashion business model that fuels Zara' growth. What the paper doesn't say is that mathematical optimization...
from Blog: IT Best Kept Secret Is Optimization


Installing XGBoost For Anaconda on Windows
XGBoost is a recent implementation of Boosted Trees. It is a machine learning algorithm that yields great results on recent Kaggle competitions . I decided to install it on my computers to give it a try. Installation on OSX was...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Machine Learning Algorithm != Learning Machine
How easy it is to build a learning machine? Shouldn't one just hire some Machine Learning PhDs and have them run their algorithms? Well, this is most probably a good idea, but it won't be enough. I'll try to explain why in this...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


The Analytics Maturity Model
Update on Sept 21, 2015. An improved version of this model is presented in Analytics Maturity Models. Analytics can be defined in many ways, but what matters is the purpose of analytics. Most definitions agree on the following: analytics is...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Catherine Dalzell on calling R from SPSS
Starting with version 16, IBM® SPSS® provides a free plugin that enables you to run R syntax from within SPSS. The plugin connects R to the active database. You can write results that are obtained from R into a new SPSS database for further...
from Blog: This Week on developerWorks Webcast


Big Data and Analytics: IBM's Infosphere Streams, BigInsights and BigSheets for advanced analytics of Big Data
Lennart
Tags:
ibm_big_data
big_data
bigsheets
ibm_cloud
analytics
cloud_computing
ibm_hadoop
infosphere_streams
biginsights
16,320 Views
Big Data is one of the hottest areas in IT right now, and IBM has a set of products that makes it very easy to get started in this very exciting space.
One of the key qualities of Big Data that totally differentiates it from what we have been used to,...
from Blog: IBM Innovation Center Silicon Valley


Simulation And Optimization Are Not The Same
Selling optimization to happy users of simulation technology can be a tough nut to crack. Here is an example I find quite effective at opening eyes. Before diving into it let me start with a disclaimer. I am not trying to show that optimization is superior...
from Blog: IT Best Kept Secret Is Optimization


IBM SmartCamp NYC  Startups to Compete for Analytics Market Opportunity Community Blog
Frank_Carlos
Tags:
entrepreneur
startup
analytics
vc
capital
web
venter
bigdata
smarter
social
internet
planet
ibm
15,777 Views
Calling All Startups Your Startup idea could win it all at IBM Entrepreneur SmartCamp Sign up today
IBM SmartCamp New Your City Livestream A Unique Big Data Opportunity for Entrepreneurs A new generation of...
from Blog: IBM SmartCamp Community


Flashbook: Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Understanding Big Data: Analytics for Enterprise Class Hadoop and
Streaming Data by Dirk deRoos , Chris Eaton , George Lapis , Paul
Zikopoulos , Tom Deutsch Book information on blog Amazon version
Electronic Version (3.37 MB) Big Data...
from Blog: Keep on Learning


IBM Big Data  Where do I start?
mrmadira
Tags:
analytics
hadoop
big
insights
starting
data
up
text
bigindex
jaql
bigsheets
15,541 Views
BigInsights 1.3 released. What's new? Enhancement to Performance, Manageability, Consumability and Integration capabilities. Where do you start? If you are new to BigData concepts you can start with this 1. http://www.ibm.com/bigdata  Quick introduction to...
from Blog: IBM Big Data


5 Things To Know About Semantic Technologies
vasfi
Tags:
ontologies
5thingstoknow
smarter
industry
monitoring
ibm
solutions
technology
rdf
owl
itso
analytics
semantic
2 Comments
15,269 Views
I am always intrigued when reading about Smarter IT solutions that help solve real business challenges, especially the ones that are related with the wellbeing of our planet. One such solution was described in the recently published IBM Redpaper...
from Blog: 5 Things To Know IBM Redbooks Blog
Modified on by MartinKeen


Creating User Defined Functions in Netezza Ideation Blog
Many a times we come across situations where in we want to accomplish a task for which there is an already built in function or a procedure. Most of the database vendors provide numerous such functions and procedures to achieve such tasks. But there are also...
from Blog: IBM PureDataNetezza Developer Network (NDN)
Modified on by NeerajGaurav

3 votes 
テキストマイニングツールを使ってみよう
ちょっとした機会があり、IBM が 2009 年に買収・統合した統計解析ツールの SPSS を使ってみました。今回紹介するのはその製品群の１つで、テキストマイニングツールである IBM SPSS Text Analytics for Surveys 4.0 です。アンケートなどを通じて得られたフリーフォーマットのテキスト回答をすばやくコード化し、そして視覚化して評価するためのツールです。数千程度の比較的小規模なアンケートのサンプルデータを対象とした解析ツールです。 ちなみにこの製品は１４日間の体験版（Windows...
from Blog: プログラマーですが、何か？(I am a software programmer.)


NLPdriven Ontology Modeling
CraigTrim
Tags:
grammar
text
rdf
big
owl
triple
ontology
verbs
data
watson
discovery
information
semantic
unstructured
analytics
extraction
13,674 Views
The Mechanics and Value of an Ontology Model An Ontology is a "specification of a conceptualization" ( Tom Gruber ). I still don’t understand what this means. This is a difficult definition, and has done little to further the understanding of...
from Blog: Language Processing


Storage Efficiency versus Data Reduction
TonyPearson
Tags:
lossless
data+reduction
sldc
storage+efficiency
ltodc
histogram
ibm
storwize
compression
thin+provisioning
supercomputers
hpc
analytics
data+deduplication
emc
deduplication
linear+regression
lto
information+archive
aldc
hash+collisions
lossy
centera
12,974 Views
Wrapping up my week's theme of storage optimization, I thought I would help clarify the confusion between data reduction and storage efficiency. I have seen many articles and blog posts that either use these two terms interchangeably, as if they were synonyms...
from Blog: Inside System Storage  by Tony Pearson


NP Or Not NP? That Is The Question
A recent blog entry on TSP and NP completeness made me write the long overdue entry I wanted to write about complexity of optimization problems. It comes in play when customers ask this simple question: My problem takes too long to solve, what can I do? ...
from Blog: IT Best Kept Secret Is Optimization


Tackling big data with Hadoop and IBM Big Sheets
How about an insight engine application that runs in a browser for domain experts to explore data at web scale? That's called Big Sheets . In this episode, Stephen Watt, a software architect and Emerging Technologies Hadoop Lead at IBM, and Dan Gisolfi , an...
from Blog: Scott Laningham


IBM SONAS guest post from John Sing
TonyPearson
Tags:
cots
competitive+advantage+it+...
nas
ibm
john+sing
cifs
new+intelligence
hpc
nfs
scaleout
petabytes
ftp
sonas
cee
san+jose
analytics
12,740 Views
Continuing on the [ IBM Storage Launch of February 9 ], John Sing has offered to write the following guest post about the [ announcement ] of IBM Scale Out Network Attached Storage [ IBM SONAS ]. John and I have known each other for a while, traveled the...
from Blog: Inside System Storage  by Tony Pearson


Solving the hardest Sudoku  part 1
JeanFrancoisPuget
Tags:
constraint_programming
mathematical_optimization
optimization
analytics
mathematics
sudoku
4 Comments
12,582 Views
Do you know the hardest Sudoku problem? Do you know the best way to solve it? Before answering these questions, let me remind you of what the Sudoku puzzle is about in case you haven't read a newspaper in the last decade (adapted from wikipedia...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Machine Learning As Prescriptive Analytics
I made a mistake about machine learning. Repeatedly. I said, and I wrote, that machine learning and predictive analytics were almost the same. To be more specific, my view was simple: analytics can be divided in four categories, exemplified below...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


What Is The Difference Between SPSS And ILOG ?
JeanFrancoisPuget
Tags:
prescriptive
spss
optimization
ilog
predictive
analytics
2 Comments
12,424 Views
Sure, I would have preferred a more generic title, such as What is the difference between predictive analytics and prescriptive analytics? What is the right decision management technology I need? instead of the IBM specific What is the difference between...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Analytics Landscape
A great way to explain the value of analytics is to speak about the analytics maturity model . This model contains two pieces. First, analytics is a two step process: insights are generated from data, then decisions are made based on these...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget
