Posts tagged three
Three Aussie Companies Will Win $8000 Each in Search Engine Optimization from … – Albany Times Union
Mar 17th
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Three Aussie Companies Will Win $8000 Each in Search Engine Optimization from …
Albany Times Union In an Australian-first initiative, PayPal is partnering with local search engine optimization (SEO) company, Dejan SEO, to offer Australian businesses the chance to win $8000 worth of SEO services. In an Australian-first initiative, … |
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Three Aussie Companies Will Win $8000 Each in Search Engine Optimization from … – Virtual-Strategy Magazine
Mar 16th
 PR Web |
Three Aussie Companies Will Win $8000 Each in Search Engine Optimization from …
Virtual-Strategy Magazine In an Australian-first initiative, PayPal is partnering with local search engine optimization (SEO) company, Dejan SEO, to offer Australian businesses the chance to win $8000 worth of SEO services. In an Australian-first initiative, … Three Aussie Companies Will Win $8000 Each in Search Engine Optimisation from … |
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Three Aussie Companies Will Win $8000 Each in Search Engine Optimisation from … – MarketWatch (press release)
Mar 16th
PR Web (press release) |
Three Aussie Companies Will Win $8000 Each in Search Engine Optimisation from …
MarketWatch (press release) In an Australian-first initiative, PayPal is partnering with local search engine optimisation (SEO) company, Dejan SEO, to offer Australian businesses the chance to win $8000 worth of SEO services. BRISBANE, Australia, March 16, 2012 /PRNewswire via … Three Aussie Companies Will Win $8000 Each in Search Engine Optimization from … |
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Three Reasons You Should Use Google+ In Your Business – Forbes
Mar 4th
 PR Web |
Three Reasons You Should Use Google+ In Your Business
Forbes Here's why: There should be an extra “S” added to SEO, because Google+ extends Search Engine Optimization, into Social Search Engine Optimization. There's no question that the “+1” button is going to impact search results, but it is still up for … SEO Consult® Reviews Important Google Algorithm Updates Phoenix SEO Company Achieves Five for Five Top Rankings With Medical And … Simple Ways to Keep Your Website's Content Fresh |
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Day Three: Search Marketing Expo West 2012 Live Blog Recap
Mar 1st
SMX West day three is now over and I wanted to post the live blogging I have found throughout the day. You can also see day one and day two recaps. Here are some of the sessions that were live blogged today. Ask The SEOs – Open Q and A Forum, BruceClay.com Driving Ecommerce & [...]
Please visit Search Engine Land for the full article.
View full post on Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Three New Tools Bring Machine Learning Insights to the Masses
Feb 27th
Over the past few years, machine learning has quickly become the “secret sauce” of large-scale web sites. Machine learning systems have historically been hand-crafted by the small armies of computer science and mathematics Ph.D.s in employ at places like Google. With the growing popularity of machine learning and other statistical techniques, the demand for so-called “data scientists” (software developers and analysts with the skill to apply statistical techniques to large data sets) has exploded since 2010.
As a result, these rarefied skills have become extremely difficult to find and expensive to retain, driving up the cost of machine learning systems and making it difficult for enterprises and smaller web firms to apply the technology. In the data scientist talent shortage is opportunity, however, and a new breed of software platform is rising to meet this need. Building upon the low-level big data infrastructure now available, these new platforms seek to democratize machine learning and advanced analytics, making their benefits available to enterprises and firms who either can’t afford or can’t find enough PhDs and data scientists. The first of this coming wave of machine learning-powered platforms is launching at this week’s O’Reilly Strata conference. Here are three companies leading the way.
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Skytree
Skytree Server is a software product aimed at allowing users to very quickly deploy highly accurate and very fast machine learning systems. The idea behind Skytree Server is to disrupt the typical development cycle of modeling machine learning systems in a high-level tool like R or Matlab, and then coding them up using Python or C for deployment in order to achieve an acceptable level of performance.
Sam Charrington is the principal of CloudPulse Strategies, an analyst and consulting firm focusing exclusively on cloud computing, big data and related technologies and markets. He can be followed on Twitter at @samcharrington.
Skytree Server is itself a back-end system designed to be put into production and called on by a number of front-end client APIs (command-line, Python, Java and R, currently). Data is passed to Skytree Server typically as CSV files. One of the strengths of the Skytree approach is that the user has direct control over which machine learning algorithms are applied. The server has built-in support for the most popular algorithms, such as support vector machines, nearest neighbor, k-means and more. The implication, however, is that the user must be pretty savvy about statistics and machine learning in order to use Skytree. (Not to mention the need for IT support.)
This is not to diminish the Skytree value proposition in the least. By analogy, if the skills required to use machine learning are akin to knowing how to drive, and the skills required to build a production machine learning system are akin to knowing how to build a car, the Amazons and Ebays of the world have built their machine learning ‘vehicles’ from the tires up, while what Skytree does is allow you to drive a Ferrari (a) without knowing how to build one and (b) on a Kia budget. Skytree Server is priced on a subscription basis, starting at $2,999 per year for up to 4 cores. It is also available as a Free Edition, which has the ability to process up to 100,000 rows of data.
BigML
BigML was founded a year ago with the vision of creating “ML for the rest of us.” With that in mind, they’ve created a cloud-based offering targeted at business users that dramatically lowers the barriers to performing machine learning analysis. BigML users typically begin an analysis by uploading a data set in text format. The service offers a wizard-based approach to formatting and cleaning up data, backed by some sophisticated pattern matching, aimed at making sure the system can tolerate real-world (read, “messy”) data. One or more columns in the data can be denoted as prediction targets, which the tool will use to train a predictive model.
Once the model has been generated, additional data can be fed into the system and the model will be used to make predictions about the prediction targets. BigML currently only supports decision tree models for machine learning. While this may be a limitation for true aficionados, the company argues that the decision tree technique is powerful because it can handle a wide variety of data types, is particularly intuitive and lends itself to visual representation, is a great place to start if you don’t already know what kind of analysis to apply, and is easy to scale.
Continuing our driving analogy, BigML offers an easy-to-drive family sedan that appears at your driveway when you need it, takes you where you want to go, and presents helpful guidance on how you got there, ensuring that you’re never lost. BigML is priced using a credit-based system at $0.05 per credit, with the number of credits required based on the size of your data, the size of your model, and the number of predictions you need to make.
Precog
Precog, still in stealth at the time of this writing, aims to offer a developer-focused platform for “data-driven, insightful, intelligent applications.” Of the three companies profiled here, Precog seems to want most clearly to be a PaaS for machine learning, and takes a very interesting approach with its platform. Precog envisions a usage model in which users “Capture” data by explicitly (via a REST API) or implicitly (via an adapter) sending it to the Precog service, “Enrich” data by mashing it up with public and partner-provided datasets, “Analyze” the data using a variety of machine learning techniques, and “Act” on it in their own applications or by pushing it to third party systems.
At the heart of Precog are a scalable, custom-built analytics database coupled with a high-level analytics API that allows users to perform a variety of analyses by name (e.g. “optimize”, “cluster”, or “predict”), without getting bogged down by the details of which algorithm is best. In this way, Precog is probably most analogous to the kit cars you could order from the back of Popular Mechanics in the 80s, offering those willing to get their hands a bit dirty a way to create unique and customized high-performance vehicle without needing to engineer the engine and frame from scratch. Oh, and you can rent it, a la SaaS. Precog will become available this week to select alpha users, with a private beta expected shortly thereafter.The product is offered by ReportGrid, a year-old company initially focused on providing sexy embeddable analytics reports for SaaS companies.
The three companies profiled here represent very distinct approaches to making ‘machine learning as a service’ a reality, and I expect we’ll see many more such offerings in the coming months.
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SEO Collaborating With Blogger- Three Ways To Build Mutually Beneficial … – Search Engine Journal (blog)
Feb 14th
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SEO Collaborating With Blogger- Three Ways To Build Mutually Beneficial …
Search Engine Journal (blog) Businesses adopt several strategies to attract traffic towards their website; some find refuge in PPC advertising, while others rely on SEO content marketing. The lines below emphasis on the ways content marketing can be done, that builds a beneficial … |
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SEO Collaborating With Blogger- Three Ways To Build Mutually Beneficial Relationships
Feb 14th
No online marketing strategy could exist and survive without content marketing. It is the content that makes one website different from the other, creates a value in the eyes of the reader, and consequently results in attracting traffic and quality links, which ultimately lead to a higher ranking. Businesses adopt several strategies to attract traffic [...]
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Three Ways To Use Linked In If You’re NOT Looking For A Job
Feb 9th
A post last week on pimping your LinkedIn profile drew a big response, as well as a divide in comments about whether or not people should be using LinkedIn.
One of the bigger misconceptions in comments in emails was that LinkedIn is a primarily a job-hunting site. But there are reasons to use LinkedIn even if you have a job you love, aside from the obvious benefits of keeping up on your industry and making connections with potential business partners.
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Among them:
- LinkedIn is a great contact manager. Not all of your contacts will have their phone numbers in their LinkedIn profile (and if you don’t, you should add it, according to networking experts), but almost all of them have a Web site and primary email address that you can access. LinkedIn also lets you add notes for each contact, much like a regular address book, so you can keep track of interaction with a contact and add information like best contact phone numbers, birthdays and other information you want to remember.
- LinkedIn Today curates news you care about. Every time I log into LinkedIn I’m presented with three news stories that the site thinks will be of interest to me, based on my industry (tech journalism and higher education). I can click through to LinkedIn today and get more stories, as well as recommendations for additional industries I may be interested in. The stories, in my experience, tend to be more enterprising and more focused on trends than the breaking news that fills my RSS, Twitter and Facebook feeds.
- LinkedIn Groups increase the number of people in my business network. Almost every employment and social media expert I spoke with in compiling last week’s post stressed the importance of finding,joining and participating in LinkedIn groups related to your industry. “Join alumni groups, industry groups and professional interest-based groups,” said Kelly A. Lux, a social media strategist at Syracuse University’s School of Information Studies. “Post links of interest to the group, ask and answer questions and search the group members for new connections.”
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Three tips to boost your PPC marketing campaigns in 2012 – Internet Marketing News
Feb 6th
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Three tips to boost your PPC marketing campaigns in 2012
Internet Marketing News However you need to be more subtle than simply saying, for example, “you have won a smartphone – claim it in the next 60 seconds” – as most pop-up ads do. News brought to you by ClickThrough – experts in SEO, PPC, Multilingual Search Marketing and … Internet Marketing Going to be Essential for Web Marketing Success ClickXPosure, Chicago's Fast-Growing Internet Marketer Celebrates Big Move |
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