Courses found: 1428

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1
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Financial derivatives are ubiquitous in global capital markets. Students will obtain a sophisticated understanding of valuation methods; tools for quantifying, hedging, and speculating on risk; and a basic familiarity with major markets and instruments. Financial derivatives are ubiquitous in global...
29 September 2021
2
B-teaser-0
B-teaser-0
Обязательный курс первого семестра для отделения Computer Science. Преподаватель - д.ф.-м.н. А.М.Райгородский. Основы перечислительной комбинаторики Обобщенная функция Мёбиуса и асимптотики Деревья и унициклические графы Разбиение чисел на слагаемые Производящие функции и линейные ...
Details to be announced
Favored by 12 people
3
B-teaser-0
B-teaser-0
Константин Вячеславович Воронцов
Яндекс
Computer Science Mathematics, Statistics and Data Analysis
Ru Free
Course added: long ago
In selections:
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Лектор: Константин Вячеславович Воронцов, старший научный сотрудник Вычислительного центра РАН. Заместитель директора по науке ЗАО "Форексис". Заместитель заведующего кафедрой «Интеллектуальные системы» ФУПМ МФТИ. Доцент кафедры "Математические методы прогнозирования" ВМиК МГУ. Эксперт компании "Янд...
Details to be announced
Favored by 9 people
4
Yury_lifshits
Yury_lifshits
Лекции: - Построение суффиксного дерева (по Укконену) - Преобразование Берроуза-Вилера - Архитектура поисковых систем. Pagerank - Структура сложных сетей - Введение в байесовские сети - Автоматическая классификация текстов - Метод опорных векторов (Support vector machines) - Семантический Ве...
Details to be announced
Favored by 9 people
5
Cscenter
Cscenter
Ицыксон Дмитрий Михайлович, Опарин Всеволод Владиславович
Computer Science Center
Computer Science Mathematics, Statistics and Data Analysis
Ru Free
Course added: long ago
In selections:
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Курс знакомит со сложностью вероятностных вычислений и теоретическими основами криптографии. Мы изучим вероятностные классы сложности и основные приемы, которые используются для анализа и построения вероятностных алгоритмов, узнаем, что такое интерактивные протоколы, игры Артура и Мерлина, докажем з...
Free schedule
Favored by 8 people
6
Cscenter
Cscenter
Буре Владимир Мансурович, Грауэр Лидия Вальтеровна
Computer Science Center
Mathematics, Statistics and Data Analysis
Ru Free
Course added: long ago
In selections:
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Лекция 0 «Обзор основных фактов теории вероятностей» Лекция 1 Выборка, эмпирическая вероятностная мера, теорема Гливенко-Кантелли. Описательная статистика. Лекция 2 Статистики 1-го типа, точечные оценки, свойства точечных оценок, методы построения точечных оценок, неравенство Рао-Крамера. ...
Free schedule
Favored by 9 people
7
Ddjlogo
Ddjlogo
This free 5-module online introductory course gives you the essential concepts, techniques and skills to effectively work with data and produce compelling data stories under tight deadlines. Comprising of video lectures, tutorials, assignments, readings and discussion forums, this course is open to...
19 May 2014
8
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The exercises we cover today will have you working directly with the Spark specific components of the AMPLab’s open-source software stack, called the Berkeley Data Analytics Stack (BDAS).
Free schedule
Favored by 1 person
9
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Google_logo_41
This three-week course provides a foundation for marketers and analysts seeking to understand the core principles of digital analytics and to improve business performance through better digital measurement. Course highlights include: * An overview of today’s digital measurement landscape * Guidance...
8 October 2013, 3 weeks
Favored by 1 person
10
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David MacKay
University of Cambridge
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In selections:
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A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms (Cambridge University Press, 2003)" which can be bought at Amazon, and is available free online. A subset of these lectures used to constitute a Part III Physics course at the University...
Free schedule
Favored by 2 people
11
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Tijmen Tieleman, Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In selections:
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In this course, we study neural networks of various types. Topics include: neural network architectures, perceptrons, the backpropagation algorithm, neuro-probabilistic language models, convolutional nets for digit recognition, mini-batch gradient descent, the momentum method, recursive neural networks...
Free schedule
Favored by 3 people
12
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Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In selections:
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Advanced course in machine learning by world leading expert Geoffrey Hinton. Topics include: graphical models, Restricted Boltzmann machines, Object Recognition in Deep Neural Nets, Recurrent neural networks, Non-linear Dimensionality Reduction and more.
Free schedule
Favored by 4 people
13
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Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In selections:
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Introductory course in machine learning by world leading expert Geoffrey Hinton. Topics include: linear regression and classification, neural networks, clustering, decision trees, gaussian processes, deep belief nets and more
Free schedule
Favored by 1 person
14
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Prof. Albert-László Barabási
Center for Complex Network Research Northeastern University Physics Department
Biology & Life Sciences Computer Science Social Sciences Mathematics, Statistics and Data Analysis
Gb Free
Course added: 22 September 2013
In selections:
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The course is an interdisciplinary course, focused on the emerging science of complex networks and their applications. The material includes the mathematics of networks, their applications to biology, sociology, technology and other fields, and their use in the research of real complex systems in nature...
9 September 2014, 15 weeks
Favored by 4 people
15
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David Lefevre
ImperialBusinessX
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 10 August 2016
Discover and acquire the fundamental maths skills that you will need to use while studying an MBA program, from algebra to differentiation and geometric series. Planning to study for an MBA but unsure of your basic maths skills? All MBA programs, and in business generally require some maths, particularly...
2 July 2018
16
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Jane Wortman, Stephen Davis, Ben Klein
DavidsonNext
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 13 August 2016
Learn AP® Calculus BC topics from highly respected AP Calculus instructors to prepare for the AP® Calculus BC exam. In this calculus course, you will learn all the Calculus BC topics that are not part of the AP® Calculus AB curriculum by engaging with video instruction, exam-style questions and interactive...
21 August 2017, 11 weeks
17
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David Lefevre, Catarina Sismeiro
ImperialBusinessX
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 10 August 2016
Discover and acquire the quantitative data analysis skills that you will typically need to succeed on an MBA program. This course will cover the fundamentals of collecting, presenting, describing and making inferences from sets of data. Want to study for an MBA but unsure of the basic data analysis still...
2 July 2018
18
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Haynes Miller, Jeremy Orloff
MITx
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 22 April 2017
Learn to understand mechanical and electrical systems’ behavior using the frequency domain and the Laplace Transform. This course is about the Laplace Transform, a single very powerful tool for understanding the behavior of a wide range of mechanical and electrical systems: from helicopters to skyscrapers...
28 June 2017, 9 weeks
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Prof. Hung Cheng
MIT OpenCourseWare
Mathematics, Statistics and Data Analysis
Gb Free
Course added: long ago
Advanced Analytic Methods in Science and Engineering is a comprehensive treatment of the advanced methods of applied mathematics. It was designed to strengthen the mathematical abilities of graduate students and train them to think on their own.
Free schedule
20
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Adrian Sannier, Sue McClure
ASUx
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 19 April 2017
This college-level, credit-eligible Precalculus course will teach you the skills required for success in future Calculus studies. This course is part of Global Freshman Academy (GFA), which means you can earn transferable ASU credit toward your college degree. In this college-level Precalculus course...
8 May 2017



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