Courses found: 1278

NVIDIA
RSS feed
Course
Description
Dates
1
66a5462a-1a44-4010-b419-d313d9218090-d8d4d0d32eba.small
66a5462a-1a44-4010-b419-d313d9218090-d8d4d0d32eba.small
Dr Galina Andreeva, Dr Matthias Bogaert, Sofia Varypati
EdinburghX
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 31 March 2020
Learn how to apply statistical modelling techniques to real-world business scenarios using Python. In this course, you will learn three predictive modelling techniques - linear and logistic regression, and naive Bayes - and their applications in real-world scenarios. The first half of the course focuses...
19 January 2021
2
27832bf3-3a35-4163-807a-108894b51eb1-b9033f5634ce.small
27832bf3-3a35-4163-807a-108894b51eb1-b9033f5634ce.small
Mathematical modeling of fluid dynamics, convection, conduction, and phase transformations. Due to challenges arising from the COVID-19 pandemic, the start date for this course will be delayed to February 2, 2020. We apologize for the delay and hope to make this content available on the new start date...
2 February 2021
3
3dbb7e34-528e-4bf9-a64a-f021c4161fdd-c667d1f604b0.small
3dbb7e34-528e-4bf9-a64a-f021c4161fdd-c667d1f604b0.small
Stephen Graves, Sean Willems
MITx
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 27 February 2020
Learn about effective supply chain strategies for companies that operate globally, with emphasis on how to plan and integrate supply chain components into a coordinated system. This course was formerly known as Supply Chains for Manufacturing I. A supply chain entails two or more parties that are linked...
9 March 2021
4
65a295eb-3824-47e5-b6fe-ad881ef42c6b-3915d830c59b.small
65a295eb-3824-47e5-b6fe-ad881ef42c6b-3915d830c59b.small
Dr Johannes De Smedt, Sofia Varypati, Obinna Unigwe
EdinburghX
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 28 April 2020
Learn how to build predictive models using machine learning. This course will give you an overview of machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python. These models form the basis of cutting-edge analytics...
16 March 2021
5
7c566601-6ddb-4013-aa8e-e0cf29482e35-fb2b80811d13.small
7c566601-6ddb-4013-aa8e-e0cf29482e35-fb2b80811d13.small
How do investors, creditors, and other users analyze financial statements to assess corporate performance. Learn financial accounting, how to read financial statements, and input valuation models for better corporate finance decision-making. Accounting is the language of business. It is difficult to...
7 April 2021
6
54f10d8d-e1cd-44a9-9fe3-af78afe8a9ed-e646d043ea61.small
54f10d8d-e1cd-44a9-9fe3-af78afe8a9ed-e646d043ea61.small
Philippe Rigollet, Jan-Christian Hütter, Karene Chu
MITx
Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 13 June 2018
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Part of the MITx MicroMasters program in Statistics and Data Science. Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances...
10 May 2021
7
01331026-64f6-4533-a1b2-47621720513a-728e9c9f70a6.small
01331026-64f6-4533-a1b2-47621720513a-728e9c9f70a6.small
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
8
Df0769a9-8b89-44ae-b223-4e9de3905b38-b5f92c09ad8d.small
Df0769a9-8b89-44ae-b223-4e9de3905b38-b5f92c09ad8d.small
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
9
1bf266b1-0a55-43e5-ae9f-f0c9a51aa515-cd41794112bc.small
1bf266b1-0a55-43e5-ae9f-f0c9a51aa515-cd41794112bc.small
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
10
6e8a49e3-e74b-4a74-81b7-ebaf9c82c620-e20771d7a2a2.small
6e8a49e3-e74b-4a74-81b7-ebaf9c82c620-e20771d7a2a2.small
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
11
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
12
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
13
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:
Small-icon.hover
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
14
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:
Large-icon
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
15
Cscenter
Cscenter
Буре Владимир Мансурович, Грауэр Лидия Вальтеровна
Computer Science Center
Mathematics, Statistics and Data Analysis
Ru Free
Course added: long ago
In selections:
Small-icon.hover
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
16
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
17
Ampcamp4-logo
Ampcamp4-logo
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
18
Logo
Logo
David MacKay
University of Cambridge
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In selections:
Small-icon.hover Chapter1_final 69884528421220
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
19
Uoft_logo
Uoft_logo
Tijmen Tieleman, Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In selections:
Small-icon.hover Small-icon.hover
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
20
Uoft_logo
Uoft_logo
Geoffrey Hinton
University of Toronto
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 26 September 2013
In selections:
Small-icon.hover Small-icon.hover
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



Know a course absent here? Share with us


© 2013-2019