Google Cloud Platform

#cloudcomputing   #google   #cloud  

Google Cloud Platform    
   
https://cloud.google.com/compute/?utm_source=google&utm_medium=cpc&utm_campaign=2015-q2-cloud-latam-gce-skws-freetrial-en

AWS - Amazon Web Services

#cloudcomputing   #amazon   #servers  

AWS - Amazon Web Services

https://aws.amazon.com/pt/

SoftLayer: a história e os diferenciais da nuvem da IBM

#cloudcomputing   #servers   #ibm   #softlayer  

SoftLayer: a história e os diferenciais da nuvem da IBM

http://olhardigital.uol.com.br/softlayer/historia.php

IBM CLOUD SOFTLAYER

#cloudcomputing   #servers   #ibm   #softlayer


IBM CLOUD SOFTLAYER


http://www.softlayer.com/pt-br/info/transparency?utm_source=google&utm_medium=cpc&utm_content=Brand_-_Portuguese_-_SoftLayer&utm_campaign=LA_-_LA_-_Portuguese_-_Brazil_-_Search_-_Google_-_Brand&utm_term=softlayer&matchtype=e&_bt=86836876990&_bk=softlayer&_bm=e

Big Data Facts: 48% of companies have failed to take advantage of opportunities to capitalize on their data

Bernard Marr

Best-Selling Author, Keynote Speaker and Leading Business and Data Expert

Big Data Facts: 48% of companies have failed to take advantage of opportunities to capitalize on their data http://www.forbes.com/sites/bernardmarr/2016/01/13/big-data-60-of-companies-are-making-money-from-it-are-you/#2715e4857a0b17fd958e4387

Data Scientist vs Decision Scientist - Is There a Difference?

Evan Sinar ‏@EvanSinar  

Data Scientist vs Decision Scientist - Is There a Difference?

@DataScienceCtrl http://#datascience

http://www.datasciencecentral.com/profiles/blogs/data-scientist-versus-decision-scientist-is-there-a-difference

50 Predictions for the Internet of Things in 2016

IoT Central

Posted by David Oro on December 29, 2015 at 4:35pm

Earlier this year I wrote a piece asking “Do you believe the hype?” It called out an unlikely source of hype: the McKinsey Global Institute. The predictions for IoT in the years to come are massive. Gartner believes IoT is a central tenet of top strategic technology trends in 2016. Major technology players are also taking Big Swings. Louis Columbus, writing for Forbes, gathered all the 2015 market forecasts and estimates here.

So what better way to end the year and look into the future than by asking the industry for their predictions for the IoT in 2016. We asked for predictions aimed at the industrial side of the IoT. What new technologies will appear? Which companies will succeed or fail? What platforms will take off? What security challenges will the industry face? Will enterprises finally realize the benefits of IoT? We heard from dozens of startups, big players and industry soothsayers. In no particular order, here are the Internet of Things Predictions for 2016.

http://www.iotcentral.io/blog/50-predictions-for-the-internet-of-things-in-2016

CompTIA-Brasil compartilhou:

Oito em cada dez executivos do setor de TI buscam entender as oportunidades de negócios com a IoT (Internet das Coisas), mostra pesquisa da CompTIA. “Tudo o que pode ser conectado, será conectado”, escreve Leonard Wadewitz, diretor da CompTIA, em artigo sobre o levantamento.

Leia na íntegra:

Internet das Coisas: tudo o que pode ser conectado, será conectado

Pesquisa da CompTIA revela que oito em cada dez executivos do setor de TI buscam entender as oportunidades de negócios com a Internet das Coisas

http://www.administradores.com.br/artigos/tecnologia/internet-das-coisas-tudo-o-que-pode-ser-conectado-sera-conectado/92354/

5 Data Science Leaders Share their Predictions for 2016 and Beyond

Data Science Central ‏@DataScienceCtrl 

5 Data Science Leaders Share their Predictions for 2016 and Beyond

http://www.datasciencecentral.com/profiles/blogs/7-data-science-leaders-share-their-predictions-for-2016-and

State of Machine Intelligence 2.0 (and Autonomous Systems)

Kirk Borne ‏@KirkDBorne 

State of Machine Intelligence 2.0 (and Autonomous Systems)

https://www.oreilly.com/ideas/the-current-state-of-machine-intelligence-2-0

#DataScience #AI #MachineLearning

BIG DATA, BIG IMPACT: UX IN THE INDUSTRIAL IOT

Ronald van Loon ‏@Ronald_vanLoon  8 de jan

BIG DATA, BIG IMPACT: UX IN THE INDUSTRIAL IOT | #BigData #IoT #RT http://bit.ly/1JOEscP 

What Librarians Can Teach Us About Managing Big Data - InFocusInFocus

Evan Sinar ‏@EvanSinar  

What Librarians Can Teach Us About Managing Big Data - InFocusInFocus 

http://ow.ly/Wm3tw  #datascience #bigdata

Cheat Sheet: Data Visualization with R

Ronald van Loon ‏@Ronald_vanLoon  

Cheat Sheet: Data Visualization with R 

| #DataViz #R #RT

http://www.datasciencecentral.com/group/tutorials/forum/topics/cheat-sheet-data-visualization-with-r

6 sites para baixar livros gratuitamente e de forma legal

6 sites para baixar livros gratuitamente e de forma legal

http://revistagalileu.globo.com/blogs/estante-galileu/noticia/2014/06/6-sites-para-baixar-livros-gratuitamente-e-de-forma-legal.html

1. Open Library

2. Portal Domínio Público

3. Projeto Gutemberg

4. eBooks Brasil

5. Obras raras da USP

6. Wikisource

Internet Of Everything (IoT)

7 Tech Skills That Could Make Or Break Your Career

Bernard Marr
Best-Selling Author, Keynote Speaker and Leading Business and Data Expert
7 Tech Skills That Could Make Or Break Your Career
https://www.linkedin.com/pulse/7-tech-skills-could-make-break-your-career-bernard-marr?trk

7 Tech Skills That Could Make Or Break Your Career

Bernard Marr
Best-Selling Author, Keynote Speaker and Leading Business and Data Expert
7 Tech Skills That Could Make Or Break Your Career
https://www.linkedin.com/pulse/7-tech-skills-could-make-break-your-career-bernard-marr?trk

7 Tech Skills That Could Make Or Break Your Career

Bernard Marr
Best-Selling Author, Keynote Speaker and Leading Business and Data Expert
7 Tech Skills That Could Make Or Break Your Career
https://www.linkedin.com/pulse/7-tech-skills-could-make-break-your-career-bernard-marr?trk

Steve Jobs | Artigo de Pedro Dória (Jornal O Globo)

Pedro Doria compartilhou originalmente: 8 de nov de 2015

 

Há um ano, hoje, morreu Steve Jobs. À época, escrevi dois textos para O Globo. Um, pessoal; outro sobre seu impacto.

"Steven Paul Jobs era um homem pacato. Budista, seguia desde muito jovem a linha zen. Era também um homem agressivo, capaz de demissões sumárias por motivos fúteis. Fez muita gente chorar por broncas duras. Foi um pai amoroso quase toda a vida mas se recusou a reconhecer a primeira filha em seus primeiros anos. Foi um homem ímpar, paradoxal, que marcou profundamente o mundo." linK: http://glo.bo/OHbuWR

"Que ninguém se engane: Steve Jobs está para nosso tempo como John Lennon esteve para os anos 60. Ele não é apenas o CEO que faz mais diferença para a empresa que dirige. Não é apenas o símbolo mais conhecido de um período de mudanças profundas na sociedade e na cultura movidas pela tecnologia. Steve Jobs está um passo adiante. Ele, mais do que ninguém, desenhou a forma como essas mudanças ocorrem." link: http://glo.bo/SByoya

The 15 best free SEO tools

The 15 best free SEO tools

We asked a set of SEO experts and search marketing professionals about their favorite SEO tools and came up with these 15 recommendations. And the price sure is right: They are all free.

http://www.networkworld.com/article/3002076/internet/the-15-best-free-seo-tools.html#slide1

Michael Dell's Must-Read Business Books Right Now Nine titles to help you harness our rapidly changing times and technology.

Michael Dell's
Must-Read Business Books Right Now
Nine titles to help you harness our rapidly changing times and technology.

http://www.inc.com/michael-dell/must-read-business-books-right-now.html

Michael Dell's Must-Read Business Books Right Now Nine titles to help you harness our rapidly changing times and technology.

Michael Dell's
Must-Read Business Books Right Now
Nine titles to help you harness our rapidly changing times and technology.

http://www.inc.com/michael-dell/must-read-business-books-right-now.html

Michael Dell's Must-Read Business Books Right Now Nine titles to help you harness our rapidly changing times and technology.

Michael Dell's
Must-Read Business Books Right Now
Nine titles to help you harness our rapidly changing times and technology.

http://www.inc.com/michael-dell/must-read-business-books-right-now.html

39 photos of how Steve Jobs saved Apple from disaster and led it to rule the world

http://www.businessinsider.com/steve-jobs-apple-history-in-photos-2015-10?utm_content=bufferb7bff&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

Rivais, Microsoft e Red Hat fazem acordo para oferta de sistema operacional Linux na nuvem

Rivais, Microsoft e Red Hat fazem acordo para oferta de sistema operacional Linux na nuvem

http://convergecom.com.br/tiinside/04/11/2015/rivais-no-mercado-de-software-microsoft-e-red-hat-firmam-acordo-para-oferta-de-linux-na-nuvem/

Rivais de longa data na indústria de software, a Microsoft e Red Hat anunciaram nesta quarta-feira, 4, uma parceria por meio da qual a versão do sistema operacional Linux da fornecedora de software livre estará disponível para usuários do Windows Azure, plataforma de serviços na nuvem da Microsoft. Os termos financeiros do acordo não foram divulgados

Há muitos sensores na visão de futuro apresentada pela Intel

Vinte demonstrações inéditas no Brasil contemplam inovações recentes da empresa em variados campos, como transporte, IoT e até soluções para o usuário final

http://idgnow.com.br/ti-pessoal/2015/11/04/ha-muitos-sensores-na-visao-de-futuro-apresentada-pela-intel-na-innovation-week/
+IDGNow 

9 Free Books for Learning Data Mining and Data Analysis

 

Gregory Piatetsky 

‏
9 Free Books for Learning Data Mining and Data Analysis

http://www.kdnuggets.com/2014/04/9-free-books-learning-data-mining-data-analysis.html



Curso de IPv6 - Aula 1 - Revisão de IPv4

Curso de IPv6 - Aula 1 - Revisão de IPv4

https://www.youtube.com/watch?v=I_d0hoNAh_c

Stephen Orban
Global Head of Enterprise Strategy at Amazon Web Services

Seven Best Practices for Your Enterprise’s Journey to the Cloud

https://www.linkedin.com/pulse/7-best-practices-your-enterprises-journey-cloud-stephen-orban?trk=hp-feed-article-title-channel-add

Cisco's CEO: The Internet of things is real (and confusing)

Rick Blaisdell

Chief Technology Officer at Motus, LLC; Cloud Computing Expert and Technology Advisor at RicksCloud

Cisco's CEO: The Internet of things is real (and confusing)

http://fortune.com/2015/10/05/cisco-chuck-robbins-internet/

5 tips for working with data science interns

5 tips for working with data science interns 

http://www.cio.com/article/2997516/staff-management/5-tips-for-working-with-data-science-interns.html

Back in 2008, there were already more objects connected to the Internet than people

Bernard MarrBernard Marr é um LinkedIn Influencer
Best-Selling Author, Keynote Speaker and Leading Business and Data Expert
Back in 2008, there were already more objects connected to the Internet than people
 #IoT #BigData 
http://www.forbes.com/sites/bernardmarr/2015/10/27/17-mind-blowing-internet-of-things-facts-everyone-should-read/

Meg Whitman on Splitting Hewlett Packard and Starting a New Job

Meg Whitman on Splitting Hewlett Packard and Starting a New Job

slideshare.net

http://pt.slideshare.net/LinkedInPulse/meg-whitman-hewlett-packard-leadership-split-enterprise-culture-54743025

How to Present Data to People Who Are Scared of Numbers

by Bernard Marr   |   November 9, 2015 5:30 am

How to Present Data to People Who Are Scared of Numbers 

- See more at:

http://data-informed.com/how-to-present-data-to-people-who-are-scared-of-numbers/#sthash.qDuRBiBz.dpuf

Data Analysis with Pandas

Big Data Science ‏@analyticbridge 

Data Analysis with Pandas:

http://www.analyticbridge.com/profiles/blogs/data-analysis-with-pandas

What is Advanced Analytics, Data Science, Machine Learning—and What is their Value?

Kirk Borne ‏@KirkDBorne 

How to Explain the Value of #DataScience:

#BigData #MachineLearning | Project Botticelli 

https://projectbotticelli.com/knowledge/what-is-advanced-analytics-and-data-science-and-machine-learning--and-what-is-their-value

5 User-Centered Principles for Designing Data Visualizations | ThoughtWorks

Evan Sinar ‏@EvanSinar
5 User-Centered Principles for Designing Data Visualizations | ThoughtWorks
http://ow.ly/U24e7   #dataviz  

4 Things Your Data Scientist Should Not Be Doing

4 Things Your Data Scientist Should Not Be Doing

• AjayPaghdal
 
• September 15, 2016 at 3:30 pm

  It’s the age of big data. Sets of data so vast, so overwhelming that traditional data processing applications aren’t able to handle them. In fact, according to...

https://www.datasciencecentral.com/4-things-your-data-scientist-should-not-be-doing/

IBM CEO: It is the 'dawn of a new era' where computers think and make decisions

Business Insider India

http://www.businessinsider.in/IBM-CEO-It-is-the-dawn-of-a-new-era-where-computers-think-and-make-decisions/articleshow/49344259.cms

Are operating systems and applications your main cybersecurity focuses?

Intel Security compartilhou originalmente:

 

Are operating systems and applications your main cybersecurity focuses? 

You may need to add a few more to the list: http://intel.ly/1HnLRAg 

The Industrial Internet of Things (IIoT): Challenges, Requirements and Benefits

Ahmed Banafa
Faculty | Author | Speaker | IoT Expert
The Industrial Internet of Things (IIoT): Challenges, Requirements and Benefits
https://www.linkedin.com/pulse/industrial-internet-things-iiot-challenges-benefits-ahmed-banafa?trk=hp-feed-article-title-share

Implementación de IPv6: Dual Stack

CISCO CCNA compartilhou originalmente:

Implementación de IPv6: Dual Stack

http://librosnetworking.blogspot.com.ar/2015/11/implementacion-de-ipv6-dual-stack.html

Successful Analytics: Gain Business Insights by Managing Google Analytics

Ronald van Loon ‏@Ronald_vanLoon
Successful Analytics: Gain Business Insights by Managing Google Analytics |#Analytics #GoogleAnalytics #RT http://amzn.to/1JOEscO

Big Data, Smaller Risk

#bigdata     Big Data, Smaller Risk
http://ww2.cfo.com/big-data-technology/2015/10/big-data-smaller-risk/

Analytics is a Story: Think Like a Writer to Tell It

#bigdata   #analytics   #evansinar  
Analytics is a Story: Think Like a Writer to Tell It
https://www.linkedin.com/pulse/analytics-story-think-like-writer-tell-evan-sinar-phd?trk=hb_ntf_MEGAPHONE_ARTICLE_POST

2015: A Transformative Year for Big Data

 

2015: A Transformative Year for Big Data

http://data-informed.com/2015-a-transformative-year-for-big-data/

My Brief Guide to Big Data and Predictive Analytics for non-experts

Ronald van Loon ‏@Ronald_vanLoon 
My Brief Guide to Big Data and Predictive Analytics for non-experts | #BigData#PredictiveA… http://bit.ly/1N01U9l  

UIT cria primeiro padrão oficial para Big Data

UIT cria primeiro padrão oficial para Big Data
http://cio.com.br/tecnologia/2015/12/21/uit-cria-primeiro-padrao-oficial-para-big-data/

Common Errors in Machine Learning due to Poor Statistics Knowledge

Common Errors in Machine Learning due to Poor Statistics Knowledge

Por 

 Vincent Granville  -  

July 2, 2020 at 4:48 am

Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with 10 observations. Compute all the (99,999 * 100,000) / 2 cross-correlations. You are almost guaranteed to find one above 0.999. This is best illustrated in may article How to Lie with P-values (also discussing how to handle and fix it.)

This is being done on such a large scale, I think it is probably the main cause of fake news, and the impact is disastrous on people who take for granted what they read in the news or what they hear from the government. Some people are sent to jail based on evidence tainted with major statistical flaws. Government money is spent, propaganda is generated, wars are started, and laws are created based on false evidence. Sometimes the data scientist has no choice but to knowingly cook the numbers to keep her job. Usually, these “bad stats” end up being featured in beautiful but faulty visualizations: axes are truncated, charts are distorted, observations and variables are carefully chosen just to make a (wrong) point.

Read the full article here. 

https://www.datasciencecentral.com/common-errors-in-machine-learning-due-to-poor-statistics-knowledg-2/