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The document explains how cloud compute and scalable data accelerate predictive modeling, enabling use cases such as search, spam filtering, recommendations, and user personalization. It highlights workforce demand, the value of credential validation for career advancement, and real-world impacts across healthcare, retail energy, education, and banking. 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Training and certification help developers and data scientists gain skills that support organizational success.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does the document describe cloud computing improving machine learning?",{"text":118,"@type":114},"It explains that advances in compute and cloud data capacity accelerate machine learning potential. This enables more accurate, self-optimizing predictive models and helps businesses derive insights from data.",{"name":120,"@type":111,"acceptedAnswer":121},"What does AWS Training and Certification aim to do for learners?",{"text":122,"@type":114},"It provides role- and level-tailored courses and supports structured learning toward an industry-recognized certification. 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However, a lack of trained and certified machine learning talent has become a barrier to the widespread adoption of the technology. In this eBook, we’ll review the promise of machine learning and how innovations in training and certification give developers and data scientists an advantage by equipping them with the skills to help their organizations achieve success.  \nExtracting meaningful insights from data with machine learning technology  \nWhile machine learning—and AI for that matter—is hardly new, advancements in compute and the virtually unlimited data capacity of the cloud are accelerating its potential to drive successful business outcomes through increasingly accurate and self-optimizing predictive models. Today’s businesses are using cloud-based machine learning to solve business and technology issues across a range of important areas, including internet search, spam filtering, and user recommendations.  \n“There’s nothing new to AI per se. It was deployed in the 1950s. But now with cloud computing and the elasticity it provides, we can suddenly take massive amounts of data, throw it at the neural network, and actually get insights out of what is statistically difficult to engineer.”  \nOlivier Klein,  \nHead Emerging Technologies for AWS, APAC 2  \nThe message is simple: Getting trained and certified in machine learning allows you to advance your career—and your business to advance its projects.  \nNow let’s take a step back and discover how machine learning is impacting the larger global marketplace.  \n3  \nThe machine learning skills is opportunity  \nBecome the kind of machine learning expert today’s organizations are seeking  \nyour  \ngap  \n• Organizations are struggling to find experienced machine learning talent, especially in the highly technical roles of data scientist and developer.1  \n• Beyond training, professionals can formally validate their credentials and elevate their reputations by getting machine learning-certified in their respective specialties.  \n• To meet these needs, training programs are now available across the essential areas of machine learning, equipping developers and data scientists with the skills most in demand by the market.  \n•  \nHow machine learning is impacting our day-to-day lives:  \n•  \n•  \n•  \n•  \n4  \nDoctors could potentially use machine learning models to determine the most effective ways to treat diseases based on data about actual treatment outcomes.3  \nMachine learning is enabling retail energy providers to predict usage and provide customers with more accurate pricing than ever before.3  \nThe retail shopping experience is being transformed by machine learning models, guiding customers to products they may like within a physical store or online.3  \nIn education, machine learning is enabling teachers to quickly personalize learning paths tailored to individual student achievement.4  \nThe banking industry is investing in AI that allows for automated threat intelligence and prevention systems and fraud analysis and investigation.5  \nMachine learning is reaching everyone  \nThe growth of machine learning-based projects impacts many industries  \nAccording to Gartner, enterprise organizations expect to (on average):  \nicrhpnojeects  \nHave35 ininctegs  \nin development by 20222  \nAI and machine learning are elevating the global economy  \n• Worldwide spending on AI Systems will be nearly $98 Billion in 2023.5  \n• Global GDP could be up to 14% higher in 2030 as a result of AI – the equivalent of an additional $15.7 trillion.3  \n• The AI use cases that will see the fastest spending growth over the 2018-2023 forecast period are automated human resources, pharmaceutical research, and development.5  \n• 48% of executives at US companies surveyed in 2019","cbCaicOCxjgN3mPJ","https://ap.wps.com/l/cbCaicOCxjgN3mPJ","pdf",7571128,"English","# Training and certification for machine learning\n## Why machine learning matters for businesses\n## Machine learning opportunities for experts\n## Real-world day-to-day impacts\n## AWS Training and Certification overview","[{\"question\":\"Why does the document say trained and certified machine learning talent is important?\",\"answer\":\"It states that a lack of trained and certified talent limits broader adoption of machine learning technology. Training and certification help developers and data scientists gain skills that support organizational success.\"},{\"question\":\"How does the document describe cloud computing improving machine learning?\",\"answer\":\"It explains that advances in compute and cloud data capacity accelerate machine learning potential. This enables more accurate, self-optimizing predictive models and helps businesses derive insights from data.\"},{\"question\":\"What does AWS Training and Certification aim to do for learners?\",\"answer\":\"It provides role- and level-tailored courses and supports structured learning toward an industry-recognized certification. The document highlights AWS Certified Machine Learning—Specialty as validating real-world capability to build, train, tune, and deploy models.\"}]","Machine Learning eBook April 2020 - Learn Essential Skills from AWS | PDF",1789932726,25]