A DUI & DWI lawyer is a professional specialized in representing clients faced with charges for various traffic offences. Driving under the influence and driving while intoxicated are some of the most common criminal offences filed in various states including Pennsylvania and the New Jersey.
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Adwords Fundamentals Exam Latest March 2016. Live Exam, Use For Training & Practice... - 0 views
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fundamental google adwords exam 2016 for revision
Pilot Emerging Tech, Like Social Media, Wearables, IoT, AI, Analytics, Crypto & Blo... - 0 views
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11 Myths About DUI & DWI Lawyer | Legal World Info - 0 views
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A DUI & DWI lawyer is a professional specialized in representing clients faced with charges for various traffic offences. Driving under the influence and driving while intoxicated are some of the most common criminal offences filed in various states including Pennsylvania and the New Jersey.
Skateboarding, The AI Company and the Autolearn Boost - The AI Company - 0 views
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What is common between skateboarding and learning to skateboarding & autolearn.ai’s AI platform. Lots, turns out. Consider the process of learning to skateboard. One repeatedly tries a move with the skateboard. You look at if you can land the move. If you do, you try a different move. if you don’t, you slightly vary something in your technique; maybe you try a different center of gravity or angle your legs slightly differently or move your arms differently. Rinse. Repeat. As the skateboarder tries different variations, the “learn” the intricacies of every move and slowly improve. The more time, the more variations and the more analysis they do, the faster they learn and get better. Over time, one can go from a novice to an expert, having built a massive repository of insights and training that help the brain leverage the learning to control the brain that in turn controls the muscles, bones and body weight to effortlessly skateboard. The AI Company’s platform is designed to mimic the process of learning to skateboard. However, instead of sequentially repeating the learning task, the AI platform enables automatically parallelizes the learning process by simultaneously trying out each possible variation for each move and then parallelizing learning multiple moves at the same time. This massive parallelization is accentuated by the automatic selection of the most optimal and accurate insights (AI models) that learn the best in the context of the problem at hand. The best AI models are automatically deployed to production, stored in a very secure form and can be leveraged in traditional app development or in the development of intelligent smart contracts (AutoLearn’s SmartChain). Imagine learning a skill instantly by parallelizing your learning so that you can try out the millions of variations, learn from them and ingest the learnings instantly. This is the AutoLearn boost. With The AI Company’s AI, you are able to reduce what traditionally in data science would take upwards of a year and multiple data scientists to mere days through the automated training, selection and deployment of the best AI models out of 1000s of variations generated in parallel by AutoLearn. Not only do you reduce the time taken to go live with AI, because of the automation and the efficiency maximizer in AutoLearn’s AutoAI, you are guaranteed the best possible AI model. This is not guaranteed in a manually driven data science practice!
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What is common between skateboarding and learning to skateboarding & autolearn.ai's AI platform. Lots, turns out. Consider the process of learning to skateboard. One repeatedly tries a move with the skateboard. You look at if you can land the move. If you do, you try a different move. if you don't, you slightly vary something in your technique; maybe you try a different center of gravity or angle your legs slightly differently or move your arms differently. Rinse. Repeat. As the skateboarder tries different variations, the "learn" the intricacies of every move and slowly improve. The more time, the more variations and the more analysis they do, the faster they learn and get better. Over time, one can go from a novice to an expert, having built a massive repository of insights and training that help the brain leverage the learning to control the brain that in turn controls the muscles, bones and body weight to effortlessly skateboard. The AI Company's platform is designed to mimic the process of learning to skateboard. However, instead of sequentially repeating the learning task, the AI platform enables automatically parallelizes the learning process by simultaneously trying out each possible variation for each move and then parallelizing learning multiple moves at the same time. This massive parallelization is accentuated by the automatic selection of the most optimal and accurate insights (AI models) that learn the best in the context of the problem at hand. The best AI models are automatically deployed to production, stored in a very secure form and can be leveraged in traditional app development or in the development of intelligent smart contracts (AutoLearn's SmartChain). Imagine learning a skill instantly by parallelizing your learning so that you can try out the millions of variations, learn from them and ingest the learnings instantly. This is the AutoLearn boost. With The AI Company's AI, you are able to reduce what traditionally in data
Platform Commoditization: How not to get sidelined by commoditization - The AI Company - 0 views
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The Risk of Building Platforms: Cost of Marketing & Support
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The cutting edge platforms for today will be the commoditized platforms of tomorrow. As the technology matures and evolves, the previous generation of technology becomes easier to build and deploy enabling a rush of vendors to capitalize on it by making it accessible to the largest possible customer base. This puts enterprises in the nontechnology sectors in an awkward position. Often not ready to consume the latest and greatest technology due to parts of their stack unable to leverage new technology and requiring upgrade to and deployment of the stepping stone technology, these enterprises have to choose between vendor lock-in in a multi-year software and service contract or risk building and implementing a version of the older technology in-house. Business Drivers of Infrastructure-as-a-Service The biggest risk in building technology platforms in-house is the risk of commoditization. The argument played out with the debate over internal vs. public clouds. Initially, enterprises were hesitant to leverage public clouds with several of them opting to build internal, private clouds. Building a cloud is hard. Operating and maintaining a cloud is even harder. Ensuring that the cloud is running on and leveraging the best in class technology requires dedication to the cause. This is often missing in non-technology enterprises by design given they are driven by different and separate business drivers and considerations. A cloud service provider is motivated to ensure the best in class service and technology because that drives revenue for them. An enterprise whose main business is not offering cloud or software services will not be motivated by the same drivers and thus there will be an inherent difference in their approach and success with building and delivering an internal cloud. Business Drivers for Platform-as-a-Service The same argument (public vs private clouds) applies to platforms. Building the best in class platforms that offer the ability to develop cuttin
SEO Mastery - Drive Traffic & Sales Effortlessly Course Site - ONLINE EARN - 0 views
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Looking to Rank on Google? Have a Website/Youtube Page/ Facebook Group that isn't getting any traffic? Trying to find a method to drive traffic can be a hassle. With thousands of courses and techniques out there, choosing and differentiating between the options can be overwhelming! FEAR NOT. SEO Mastery - Drive Traffic & Sales Effortlessly puts everything you need to know, all in one place! Save time and money by having everything you need, conveniently available to you, in one comprehensive course
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