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#391 von ykyokicks 20.02.2017 - 08:26
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If you watch any amount of TV, you probably have seen the State Farm commercials starring Chris and Cliff Paul. Last year the Jordan CP3.VII was offered on NikeiD with argyle print that resembled the sweater Cliff wore in the commercials. We now have the Jordan CP3.VIII representing Cliff Paul, but they won’t release on NikeiD and more than likely at all, but there is one way to obtain them.

Being called ‘Worn to Assist’, the Jordan CP3.VIII features white panels while red makes up for the argyle pattern, grey makes it’s way onto the tongue and a silver on the midsole.
The Jordan CP3.VIII Worn to Assist and matching beanie will be given out during NBA All Star weekend to “influencers”. If you’re in NYC this weekend, make sure to check out the Jordan Brand pop up shop.
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#390 von Kanika 02.02.2017 - 08:55
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#386 von hvdfhmic 17.12.2016 - 10:05
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#385 von hvdfhmic 17.12.2016 - 09:58
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2016 by admin
Air Jordan 1 “Chicago”
Air Jordan 1 “Chicago”
Saturday will be engraved regression Air Jordan 1 “Chicago” this year is undoubtedly the most popular shoes. White black and red dress Chicago Bulls color inherently charming, many die-hard fans, the Jordan Brand and the first pair of Air Jordan 1 shoes AJ 30 birth anniversary, overwhelmed engraved return to nature is not neglect. Brand is also under the foot work, it will be a considerable sincerity of Air Jordan 1 Retro OG High “Chicago” in front of us, in addition to the selection of high-quality leather, authentic details of the dress will be the first year of 100% perfect image reproduction.
Today in history to bring 4 Air Jordan 1 “Chicago” of the physical contrast, overwhelmed by the 100% OG engraved year, following the 1994 re-engraved, once again debut in 2012 with quite modern version compared to this year’s version is almost a replica of the 1985 version.
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#384 von hvdfhmic 17.12.2016 - 09:50
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Speaking recently circle shoes hottest topic than the Air Jordan 30 anniversary celebration officially launched, but today Michael Jordan himself is coming out of Hong Kong! Then visit the 30 anniversary of the Jordan Team, Joe closer when eastbound, let us recall the legendary trapeze addition to its own AJ, but also through what shoes?
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#383 von hvdfhmic 17.12.2016 - 09:36
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eye “night” holographic image appears originality, as well as carbon fiber elastic supporting plate can be adapted to violent action. When the season sixth in the finals play against the Utah Jazz game, Jordan played his most famous stunt shots. (In fact, he was wearing at the time of the game is the early release of AIR JORDAN XIV shoes.) Bulls eventually won the championship for three consecutive years. Chicago Bulls became the first team in NBA history the second time three consecutive team.
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#382 von hvdfhmic 17.12.2016 - 09:24
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collection of stories, but now, to follow our lens, to listen to the collection of road Shi Haifeng.
Speaking of his favorites, Shi Haifeng face a little pride with a shirt with a collection of shoes such way is indeed a dream of many people, after the interview, Shi Haifeng Xiaobian that due to nervousness, his play is not too good, but small series can still feel his love for Jordan, this love may not mention, but the gestures, it will infect the people around.
The Shi Haifeng only bring their own collections in a small part, in his words, it was only brought “representatives” of things, from the Jordan era North Carolina, to entering the Alliance, the ruling coalition, the last time the Wizards , uniforms and shoes readily available, through his collection, we can complete the recall part of Jordan’s legend.
“The sole paper mat below it.”
This is Xiao Bian Shi Haifeng in an interview to say, because the shoes need to be placed on the field and on the sidelines
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#381 von hvdfhmic 17.12.2016 - 09:19
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#380 von hvdfhmic 17.12.2016 - 09:13
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sneaker enthusiasts, led them to enjoy exploring these great behind the design concept and the creator of these legendary stories.
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Vengeance, Vortex, Vector three Air Max BW shoes combine classic design, with the new jacquard weaving technology combined with a gradient effect and pixelated in some significant areas, creating a soft effect. Shoes retained the “big window” bold technology, but in the upper design to create a more organic tone.
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#379 von hvdfhmic 17.12.2016 - 09:05
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#378 von entoni3fa7m 14.12.2016 - 11:08
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#377 von ndriaa9qn5v 14.12.2016 - 11:08
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#376 von atsonx1lu7f 14.12.2016 - 11:06
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gaining people's trust (Stettheimer)
B (Griskewicz)
Making healthcare computer systems affordable for smaller medical offices:
C (Stettheimer)

B (Griskewicz)
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B- (Griskewicz)
D (Wilbur)
Sharing data among the various segments of the healthcare industry:
C+ (Stettheimer)

C- (Griskewicz)
A for the technology (Wilbur)

B for the implementations (Wilbur)
C for the adoption of available technology (Wilbur)

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#375 von rtegam9zs2i 14.12.2016 - 11:00
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Nuance's usual pattern is to release regular small revisions after launch, each of which squashes bugs and improves reliability. I hope that the shortcomings of the Status Window will be rectified shortly in that fashion.

Speech-recognition devotees are just not going to be able to pass up a 15% accuracy improvement and commands that execute lickety-split. Despite some warts in version 5.0.2, Nuance's underlying speech-recognition technology is state of the art. Dragon 5 is the best speech-recognition product available for the Mac.

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IT career roadmap: How to become a data scientist

In this month's Career Roadmap, Tom Walsh and Alex Krowitz, both research engineers for workforce management company Kronos, discuss what it takes to be a data scientist -- one of today's hottest and most in-demand IT careers.


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A data scientist is one of the most in-demand, high-profile careers in IT today, but Tom Walsh and Alex Krowitz have been working behind the scenes in the field for years. Walsh, a research engineer and Krowitz, a senior research engineer at cloud workforce management solutions company Kronos, sift through the influx of proprietary and customer data to identify patterns and gain insights based on that data. "We both work in the workforce management and timekeeping division here at Kronos. There are generally two kinds of projects we regularly handle; mining patterns within data to improve our own products is one and the other is taking on specific sets of customer data to gather and deliver insights from that," says Walsh. Crystal ballWhat companies are looking for is ultimately the capability to make predictions based on that data, says Krowitz. Companies use those predictions to help drive everything from marketing strategy to resource allocation,cheap jordans for sale, personnel levels and staffing, or to predict retail sales, he says. "We have products that use machine learning algorithms to help customers with these predictions. We are constantly working to refine those algorithms and make the predictions much more accurate. Customers are looking for help with things like predicting how much business there will be in a retail store, or sales volume per store, or in a hospital they want to predict how many patients will be admitted. Armed with that data, they can better understand the relationships between how many staff members they need for their business, or how to structure their supply chain, for example," Krowitz says. [ Related story: 4 biggest misconceptions about hiring data scientists ]What degrees do data scientists need?
Walsh holds a Ph.D. in machine learning and worked in a series of both academic and industry jobs involving applied machine learning and robotics before coming to Kronos two years ago. Krowitz, who has a master's degree in computer science and a bachelor's degree in physics, he came to Kronos after a stint at a neural networks company.
At least a bachelor's degree is required to become a data scientist, and a master's degree is recommended, but it doesn't have to be a degree specifically in data science, says Professor Sue Metzger, an instructor in management information systems (MIS) at Villanova University. There are a number of industries and areas where a data science focus is useful, she adds. "We offer a master's of science in analytics, and we also have a minor in business analytics or data analytics. We've been pretty aggressive getting into the data science and data analytics space, because we know how applicable this area of focus is for a lot of different careers. If you're going into marketing, you have to get that minor. It's also recommended if you're going to be a programmer," Metzger says. Patrick Circelli, senior technical recruiter and lead technical trainer for IT recruiting and staffing firm Mondo says that data scientists are also in high demand from larger government clients in the Washington, D.C., area and its suburbs.Demand for data scientists grows"There's this growing need, as the data science field evolves, for predictive analysis and explanation. That's one of the largest spaces where we're filling data science roles, but we also see demand in areas like development and design companies, or software companies, especially those that have SaaS or PaaS (platform as a service) offerings that must constantly evolve their products based on user feedback and competitive analysis," Circelli says.An MIS degree is a great foundation for a career in data science because of the focus on sources of data and the incredible reach into related areas like programming and database design,cheap jordans free shipping, Metzger says."If you're thinking about being a data scientist, MIS is a great place to start. MIS [at Villanova] requires a database course and a programming course, among others. We don't expect students to become programmers, but we do expect them to understand the programming process. And a database course, because you can't do good analytics until you understand where your data is coming from. Then, you have to develop some analytics skills, including the ability to model data,cheap-jordan.net, to do statistical analysis, is also important," Metzger says.
[ Related story: IT career roadmap: The journey to digital marketing executive ]Data lost in translation?What's also important is the ability to communicate the results of data analysis and visualization to people who don't have the same level of technical and analytics expertise, Walsh says. "You need to have a unique combination of interests and skills -- the curiosity to want to know what the data's telling you; the hard skills to get that data, to wrangle it into a form where you can analyze it; and the ability to explain in layman's terms the results of the analysis and the context of what that means for business -- you have to repackage the output in a way that's meaningful for someone who has to act on that data," Walsh says. Because insights and predictions gleaned from data are often used as the basis for business decisions and strategy, the need to understand and explain data analyses and to make solid predictions is almost mandatory in data science, more so than in other disciplines, Krowitz says. "Anyone who's at the management level isn't necessarily going to want to understand the intricacies behind the data, they really just want to know why it impacts them, and how to direct business strategy because of the results. So, as a data scientist, you have to understand the business well enough to explain it to someone who's going to make very important decisions based on it," he says. When Walsh and Krowitz themselves are hiring for a data scientist position, there are a few qualities they look for over and above technical skills and relevant background and education."If we're looking at a candidate who has a Ph.D., sure, we look at their education and their work background. We also look at their publication history to see what areas they've focused on and the experiences they've had to see if they'll fit. But we also want someone who loves data and who gets incredibly excited about, say, doing things like data analysis, or working out a particularly tricky business problem," Krowitz says.As the field evolves,cheap air jordans, organizations will continue to demand skilled and passionate data scientists, and will increasingly specialize in those skills, says Mondo's Circelli. "It's so exciting to see the field evolve -- now our clients are looking not just at hiring for general-purpose analytics, but they'll maybe hire a few people: One who solely sets up systems and algorithms to gather the data, and another to do analysis. It's that evolution and shift in demand based on changing needs that's so fascinating to see," Circelli says.

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