E.g., Wednesday, August 27, 2014
E.g., Wednesday, August 27, 2014
E.g., Wednesday, August 27, 2014
September 2014

本课程针对医学图像的特征,结合临床需求,由浅入深地讲解医学图像的种类、特征、应用领域、数字化存储形式,并分类讲解图像处理的理论和算法,结合应用案例和课程实践使学生熟练掌握祥光领域的知识和技能,并具备一定的动手能力。

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Sep 25th 2014

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

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Sep 23rd 2014

Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know.

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Sep 23rd 2014

This course introduces concepts, algorithms, programming, theory and design of spatial computing technologies such as global positioning systems (GPS), Google Maps, location-based services and geographic information systems. Learn how to collect, analyze, and visualize your own spatial datasets while avoiding common pitfalls and building better location-aware technologies.

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Sep 15th 2014

This course will cover some of the common algorithms underlying the following fundamental topics in bioinformatics: assembling genomes, comparing DNA and protein sequences, finding regulatory motifs, analyzing genome rearrangements, identifying proteins, and many other topics.

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Sep 15th 2014

这门课程将帮助学生学习如何运用数据结构和算法解决复杂的实际问题。 | This course will help students learn to use data and algorithms to solve complex real-world problems.

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Sep 5th 2014

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

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Sep 5th 2014

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

8
Average: 8 (1 vote)
Sep 1st 2014

Learn the basic components of building and applying prediction functions with an emphasis on practical applications.

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Jun 30th 2014

In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the design and analysis of heuristics; and more.

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Jun 2nd 2014

This course introduces computer programming as a creative discipline to generate sounds, images, animation and more.

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May 26th 2014

¿Qué es un algoritmo? ¿Cómo se hace un diagrama de flujo? ¿Qué es un pseudocódigo? ¿Cómo me pueden ayudar a resolver problemas cotidianos? Este curso básico de computación te ayudará a desarrollar el pensamiento algorítmico necesario para solucionar problemas en forma estructurada.

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Self Paced Course - Start anytime

Can we program machines to learn like humans? This Reinforcement Learning course will teach you the algorithms for designing self-learning agents like us!

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Apr 28th 2014

In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures, randomized algorithms, and more.

9
Average: 9 (1 vote)
Apr 15th 2014

Das Modewort "Apps" ist in aller Munde. Aber wie funktioniert eigentlich eine solche "Applikation"? Und wie kann man Computer-Programme selbst schreiben? Dieser Kurs vermittelt die Grundlagen der Informatik und führt in die Programmiersprache Java ein.

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Mar 31st 2014

К распознаванию образов сводится большое число значимых для практики задач в технике, медицине, военном деле, и т. п. Курс ориентирован на доказательность в распознавании, т. е. на подход, при котором алгоритмы распознавания строятся на основе доказывемых утверждений (теорем) о свойствах образов. В курс включено описание как классических математических подходов к распознаванию (дискриминантный подход, перцептроны, тесты) , так и новых разаботок последних лет, в том числе и в МГУ. Даются необходимые определения и содержательно описываются ( там, где затруднительно в силу сложности дать точные формулировки) основные теоремы описываемых подходов.

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Mar 28th 2014

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.

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