Introduction to Data Science [2013, ENG] torrent

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Introduction to Data Science

Год выпуска: 2013
Производитель: Coursera / University of Washington
Сайт производителя: https://www.coursera.org/course/datasci
Автор: Bill Howe + guests
Продолжительность: 16:03:31
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: В курсе даются основы так называемой "Data Science" - специальности на стыке программирования, статистики, машинного обучения и big data.
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About the Course
Commerce and research is being transformed by data-driven discovery and prediction. Skills required for data analytics at massive levels – scalable data management on and off the cloud, parallel algorithms, statistical modeling, and proficiency with a complex ecosystem of tools and platforms – span a variety of disciplines and are not easy to obtain through conventional curricula. Tour the basic techniques of data science, including both SQL and NoSQL solutions for massive data management (e.g., MapReduce and contemporaries), algorithms for data mining (e.g., clustering and association rule mining), and basic statistical modeling (e.g., linear and non-linear regression).
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[spoiler="Course Syllabus"]
Part 0: Introduction

Examples, data science articulated, history and context, technology landscape

Part 1: Data Manipulation, at Scale

Databases and the relational algebra
Parallel databases, parallel query processing, in-database analytics
MapReduce, Hadoop, relationship to databases, algorithms, extensions, languages
Key-value stores and NoSQL; tradeoffs of SQL and NoSQL
Entity resolution, record linkage, data cleaning

Part 2: Analytics

Basic statistical modeling, experiment design, introduction to machine learning, overfitting
Supervised learning: overview, simple nearest neighbor, decision trees/forests, regression
Unsupervised learning: k-means, multi-dimensional scaling
Graph Analytics: PageRank, community detection, recursive queries, iterative processing
Text Analytics: latent semantic analysis
Collaborative Filtering: slope-one

Part 3: Communicating Results

Visualization, data products, visual data analytics
Provenance, privacy, ethics, governance

Part 4: Guest Lectures

Guest Lectures: AMPLab, Datameer, SciDB, more
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Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 960x540, 79.6 Kbps
Аудио: AAC, 44.1 KHz, VBR 126 Kbps
[spoiler="Отчёт MediaInfo"]
General
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Format : MPEG-4
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Codec ID : isom
File size : 23.9 MiB
Duration : 15mn 38s
Overall bit rate mode : Variable
Overall bit rate : 214 Kbps
Writing application : Lavf53.29.100

Video
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Duration : 15mn 38s
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Width : 960 pixels
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Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 fps
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Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 15mn 38s
Bit rate mode : Variable
Bit rate : 126 Kbps
Maximum bit rate : 128 Kbps
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Channel positions : Front: L R
Sampling rate : 44.1 KHz
Compression mode : Lossy
Delay relative to video : 67ms
Stream size : 14.1 MiB (59%)
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[spoiler="Скриншоты"]

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Доп. информация:
В раздачу так же включено следующее:
- субтитры
- слайды
- виртуальная машина для выполнения заданий
- описание заданий
- дополнительная информация со страниц курса
- софт