Courses found: 5612

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Description
Dates
121
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:
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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
122
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9b9bf897-7ad0-4687-99cf-4d790b281422-aaa1473b35e1.small
A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. The goal of this course, part of the...
11 January 2021
123
Developers-logo
Developers-logo
Nick Parlante
Google
Computer Science
Gb Free
Course added: long ago
In selections:
Default
Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python...
Free schedule
Favored by 8 people
124
Nips-2013-poster-thumbnail
Nips-2013-poster-thumbnail
Rob Fergus
NIPS
Computer Science
Gb Free
Course added: 26 July 2015
In selections:
Small-icon.hover Logoobjectdetection
This tutorial will look at how deep learning methods can be applied to problems in computer vision, most notably object recognition. It will start by motivating the need to learn features, rather than hand-craft them. It will then introduce several basic architectures, explaining how they learn features...
Free schedule
Favored by 1 person
125
400px-nvidia_logo.svg
400px-nvidia_logo.svg
Nvidia
Computer Science
Gb Free
Course added: 19 July 2015
In selections:
Small-icon.hover Logoobjectdetection Small-icon.hover
Deep learning is a rapidly growing segment of artificial intelligence. It is increasingly used to deliver near-human level accuracy for image classification, voice recognition, natural language processing, sentiment analysis, recommendation engines, and more. Applications areas include facial recognition...
22 July 2015, 11 weeks
Favored by 4 people
126
Default
Default
Anand Chitipothu
PythonMonk
Computer Science
Gb Free
Course added: 22 September 2013
In selections:
Posa-mocca Default
Free, interactive tutorial to help you discover Python idioms, in your browser!
Free schedule
Favored by 1 person
127
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Maxresdefault
Douglas C. Schmidt
Vanderbilt University
Computer Science
Gb Free
Course added: 22 September 2013
In selections:
Os
Developing high quality distributed systems software is hard; developing high quality reusable distributed systems software is even harder. The principles, methods, and skills required to develop reusable software cannot be learned by generalities. Instead, developers must learn through experience how...
Details to be announced
Favored by 1 person
128
Banner_ruby
Banner_ruby
Jordan Hudgens
Udemy
Computer Science
Gb Free
Course added: 4 October 2015
This post is part of our “Getting Started” series of free text tutorials on some of our most popular course topics.
Free schedule
129
Netology2016
Netology2016
Скидка на ВСЕ курсы 2016 руб! Электронная коммерция и SMM, веб-дизайн и HTML-верстка, e-mail-маркетинг и веб-аналитика — эти и другие интернет-навыки от ведущих экспертов Рунета по выгодной цене.
Free schedule
130
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Logo-30-128x128
Yann LeCun
New York University
Computer Science
Gb Free
Course added: 26 July 2015
In selections:
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Lectures from the NYU Course on Deep Learning (Spring 2014) This is a graduate course on deep learning, one of the hottest topics in machine learning and AI at the moment. In the last two or three years, Deep learning has revolutionized speech recognition and image recognition. Deep learning is...
27 January 2014, 16 weeks
Favored by 1 person
131
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
132
Cppgm
Cppgm
CPPGM Foundation
Computer Science
Gb Free
Course added: long ago
In selections:
Developers-logo
The C++ Grandmaster Certification is an online course in which participants develop their own complete standalone C++ toolchain - including a preprocessor, compiler, assembler, linker, and standard library. The toolchain will produce executable applications for a target of (a) the Linux operating...
In progress
133
B-teaser-0
B-teaser-0
Олег Викторович Сухорослов
Яндекс
Computer Science
Ru Free
Course added: long ago
Лектор: Олег Викторович Сухорослов, старший научный сотрудник Центра грид-технологий и распределенных вычислений ИСА РАН. Доцент кафедры распределенных вычислений ФИВТ МФТИ. Кандидат технических наук. Программу курса можно посмотреть здесь. Многопоточное программирование, часть 1-я Многопот...
Details to be announced
Favored by 5 people
134
Umnchem
Umnchem
Prof. Christopher J. Cramer
University of Minnesota
Chemistry Computer Science
Gb Free
Course added: long ago
In selections:
Umnchem
Modern theoretical methods used in study of molecular structure, bonding, and reactivity. Concepts and practical applications. Semiempirical, ab initio, and density functional calculations of molecular electronic structure. Theoretical determination of molecular structure and spectra; relationship to...
Details to be announced
Favored by 1 person
135
B-teaser-0
B-teaser-0
Максим Александрович Бабенко
Яндекс
Computer Science
Ru Free
Course added: long ago
In selections:
6-046jf05
Лектор: Максим Александрович Бабенко, заместитель директора отделения computer science, ассистент кафедры математической логики и теории алгоритмов механико-математического факультета МГУ им. М. В. Ломоносова, кандидат физико-математических наук. Сложность и модели вычислений. Анализ учетных стои...
Details to be announced
Favored by 9 people
136
120x72
120x72
Школа разработки интерфейсов (ШРИ) организована компанией Яндекс в 2012 году для студентов старших курсов и недавних выпускников вузов, желающих развиваться в области фронтенд-разработки веб-сервисов. Обучение в Школе разработки интерфейсов включает в себя две части. Курс лекций, посвященных разл...
Details to be announced
Favored by 15 people
137
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Photo
Yasser Abu-Mostafa
Caltech
Computer Science
Gb Free
Course added: 26 July 2015
In selections:
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This is an introductory course by Caltech Professor Yaser Abu-Mostafa on machine learning that covers the basic theory, algorithms, and applications. Machine learning (ML) enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML techniques...
Free schedule
Favored by 1 person
138
150x150
150x150
Яндекс
Computer Science
Ru Free
Course added: long ago
In selections:
Extpicture
Компания «Яндекс» регулярно проводит набор на Курсы информационных технологий для студентов и молодых специалистов, проживающих в Москве и Подмосковье и желающих больше узнать о системном администрировании, операционной системе GNU/Linux и её применении в Яндексе. Курс состоит из теоретической и ...
Details to be announced
Favored by 13 people
139
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
140
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



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