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The basic principle of robotics and AI

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Artificial intelligence applied to robotics development requires a different set of skills from you, the robot designer or developer. You may have made robots before. You probably have a quadcopter or a 3D printer. The familiar world of  Proportional Integral Derivative  ( PID ) controllers, sensor loops, and state machines must give way to artificial neural networks, expert systems, genetic algorithms, and searching path planners. We want a robot that does not just react to its environment as a reflex action, but has goals and intent—and can learn and adapt to the environment. We want to solve problems that would be intractable or impossible otherwise. Robotics or a robotics approach to AI—that is, is the focused learning about robotics or learning about AI? about how to apply AI tools to robotics problems, and thus is primarily an AI using robotics as an example. The tools and techniques learned will have applicability even if you don’t do robotics, but just apply AI to
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How Bringing everything together in a dashboard

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Often you'll need more than a single visualization to communicate the full story of the data. In these cases, Tableau makes it very easy for you to use multiple visualizations together on a dashboard. In Tableau, a dashboard is a collection of views, filters, parameters, images, and other objects that work together to communicate a data story.  Dashboards are often interactive and allow end-users to explore different facets of the data. Dashboards serve as a wide variety of purposes and can be tailored for a wide variety of audiences. Consider the following possible dashboards: A summary level view of profit and sales to allow executives to have a quick glimpse of the current status of the company An interactive dashboard allowing sales managers to drill into sales territories to identify threats or opportunities A dashboard allowing doctors to track patient readmissions, diagnosis, and procedures to make better decisions about patient care A dashboard allowing
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Problems solved using data science

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Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyze patterns or predict future behavior. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining.  the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. The various data science techniques that we will illustrate have been used to solve a variety of problems. Many of these techniques are motivated to achieve some economic gain, but they have also been used to solve many pressing social and environmental problems. Problem domains where these techniques have been used include finance, optimizing business processes, understanding customer needs, performing DNA analysis, foiling terrorist plots, and finding relationships between transactions to detect fraud
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Location: London, UK
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Does Your Creating Bar Charts In Tableau  Pass The Test? 

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Bar charts visually represent data in a way that makes comparisons of value across different categories easy. The length of the bar is the primary means by which you will visually understand the data. You may also incorporate color, size, stacking, and order to communicate additional attributes and values. Creating bar charts in Tableau is quite easy. Simply drag and drop the measure you want to see on either the  Rows  or  Columns  shelf and the dimension that defines the categories onto the opposing  Rows  or  Columns  shelf. As an analyst for the Superstore, you are ready to begin a discovery process focused on sales (especially the dollar value of sales). As you follow the examples, work your way through the sheets in the Chapter 01 Starter.twbx workbook. The Chapter 01 Complete.twbx workbook will contain the complete example, so you can compare your results at any time: Navigate to the  Sales by Department  sheet (view). Drag and drop the  Sales  field from  Measures
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Location: 5325 Wall St, Madison, WI 53718, USA
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