Courses found: 1428

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1
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Chantal Labbé, Marc Fredette
HECMontrealX
Computer Science Mathematics, Statistics and Data Analysis
Fr Paid Free
Course added: 13 August 2020
Devenez un scientifique des données UX! De l'analyse de données qualitatives à l'analyse du « Big Data », vous serez en mesure de dégager des « insights » des données afin de formuler des recommandations sur des bases empiriques. Le « Big Data » et l'UX vous interpellent? Ce MOOC vous donnera les méthodes...
14 June 2021
2
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Chantal Labbé, Marc Fredette
HECMontrealX
Computer Science Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 13 August 2020
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations. Do big data and UX speak to you? This MOOC will give you the methods and tools to analyze the whole spectrum of data we handle...
14 June 2021
3
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Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R. Modern finance is the science of decision making in an uncertain world, and its language...
7 July 2021
4
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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
5
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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
6
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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
7
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
8
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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
9
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
10
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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
11
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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
12
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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
13
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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
14
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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
15
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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
16
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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
17
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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
18
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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
19
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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
20
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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



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