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Showing posts with the label data science course

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 app...

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 f...
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Data science could be a fast-moving field – if you’re following a Data science career, or maybe if you’re simply fascinated by data-related topics, you wish to take a position time to stay up with the trends. Following a couple of high blogs could be a good way to remain au courant developments in  Data analysis, applied mathematics computer code, Data visualization, and more. These 10 bloggers systematically supply nice resources and tutorials, together with opportunities to attach with and learn from alternative leading Data sciences. follow Data Science certification  Simply Statistics Simply Statistics is managed by biostatistics professors Jeff Leek, Roger Peng, and Rafa Irizarry. Regular topics embody knowledgeable opinions and insights into AI and Data usage, and for industrious statisticians, there’s a series of career-focused interviews with  Data scientists regarding their roles among the trade. Flowing  Data  Flowin...