Titlebook: Machine Learning for Decision Makers; Cognitive Computing Patanjali Kashyap Book 20171st edition Patanjali Kashyap 2017 Machine Learning.B

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,Let’s Integrate with Machine Learning,cloud and cognitive computing. Technically machine learning cannot and “never” should be understood in isolation. It is a multi-disciplinary subject. This is the reason why an integrative view of suite of concepts and technologies is required before going into the details of the machine learning tec

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Machine Learning Algorithms and Their Relationship with Modern Technologies,stand, analyze, and evaluate the ground level reality of the business and technological landscape. This is equally critical for managers, because proper understanding of algorithms and associated technologies will make them more confident to manage their projects in a better way. It becomes more cru

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Industrial Applications of Machine Learning, are getting benefits from it. Technologies like robotics and autonomous vehicles, computer vision, natural language processing, virtual agents, deep learning, and machine learning are the technologies of the future. The new generation of machine learning applications are based on digitization. In m

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Do Not Forget Me: The Human Side of Machine Learning,rning that does not discuss the technology become the master of all the chapters? The plain and simple answer is that this chapter considers the people who realize machine learning on the ground level. This chapter considers the people who make strategies about machine learning implementation and it

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