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188 Algorithms Training Courses (Page 13)

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Introduction to Computing for Data Analysis

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You will learn how to mash up Python, R, and SQL through Jupyter notebooks, among other tools. Furthermore, you will apply these tools to a variety of real-world datasets, thereby strengthening your ability to translate principles…

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Robotics: Vision Intelligence and Machine Learning

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Then by studying Computer Vision and Machine Learning together you will be able to build recognition algorithms that can learn from data and adapt to new environments. By the end of this course, part of the Robotics MicroMasters p…

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数据挖掘:理论与算法 | Data Mining: Theories and Algorithms for Tackling Big Data

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Finally, a number of representative algorithms are introduced along with concrete examples that show how they function in practice. While theoretical analysis sometimes overcomplicates things for students, here it’s applied to hel…

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Computational Thinking and Big Data

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You will develop skills in data-driven problem design and algorithms for big data.The course will also explain mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models.You will us…

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Data Science: Machine Learning

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What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers impl…

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Introduction to Genomic Data Science

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You will learn how to answer this question for many bacteria using straightforward algorithms to look for hidden messages in the genome. In the second half of the course, we'll examine a different biological question, and ask whic…

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C Programming: Language Foundations

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You will furthermore implement some fundamental algorithms to search and sort data.Within moments of this course, you will be coding hands-on in a new browser tool developed specifically for this course, receiving instant feedback…

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Data Science Ethics

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As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without ap…