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...
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...
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...
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...
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...
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...
Haskell is a high-level, pure functional programming language with a strong static type system and elegant mathematical underpinnings, and is being increasingly used in industry by organizations such as Facebook, AT&T, and NASA. In the first 3/4 of the course, we will explore the joys of pure, lazy,...
1 лекция: Предварительное понятие истории философии
2 лекция: Историческое начало истории философии
3 лекция: Пифагор и пифагорейцы
4 лекция: Элейская (элеатская) школа
5 лекция: Гераклит Эфесский
6 лекция: Эмпедокл
7 лекция: Левкипп и Демокрит
8 лекция: Анаксагор
9 лекция: С...
Предварительное понятие истории философии.
Материал, который надо исключить при изучении философии. Источники и первоисточники по философии.
Историческое начало ИФ:
Духовная атмосфера Античного мира.
Милетская школа: Фалес, Анаксимандр, Анаксимен.
Пифагор и...
A lecture series covering contemporary areas in genomics and bioinformatics.
The scientific community celebrated the achievement of the Human Genome Project's major goal in April of 2003: completion of a high-accuracy sequence of the human genome. The significance of this milestone cannot be underestimated...
A lecture series covering contemporary areas in genomics and bioinformatics.
The scientific community celebrated the achievement of the Human Genome Project's major goal in April of 2003: completion of a high-accuracy sequence of the human genome. The significance of this milestone cannot be underestimated...
Machine learning is a powerful set of techniques that allow computers to learn from data rather than having a human expert program a behavior by hand. Neural networks are a class of machine learning algorithm originally inspired by the brain, but which have recently have seen a lot of success at practical...
Our 4-week advanced course considers how to design interactions between agents in order to achieve good social outcomes. The course -- which is free and open to the public -- considers three main topics: social choice theory (i.e., collective decision making), mechanism design, and auctions.
More...
A course taught in 2015 at Oxford University with the help of Brendan Shillingford.
The course focuses on the exciting field of deep learning. By drawing inspiration from neuroscience and statistics, it introduces the basic background on neural networks, back propagation, Boltzmann machines, autoencoders...
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...
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).
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