[Pluralsight.com / Janani Ravi] Building Machine Learning Models in Spark 2 [2018, ENG]

Страницы:  1



VIP (Заслуженный)

Стаж: 9 лет 7 месяцев

Сообщений: 6627

Rocco · 18-Июл-18 11:23 (28 дней назад)

Building Machine Learning Models in Spark 2
Training ML models is a compute-intensive operation and is best done in a distributed environment. This course will teach you how Spark can efficiently perform data explorations, cleaning, aggregations, and train ML models all on one platform.
Год выпуска: 06/2018
Производитель: Pluralsight
Сайт производителя: pluralsight.com/courses/spark-2-building-machine-learning-models
Автор: Janani Ravi
Продолжительность: 3:27
Степень сложности: средняя
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: Spark is possibly the most popular engine for big data processing these days. In this course, Building Machine Learning Models in Spark 2, you will learn to build and train Machine Learning (ML) models such as regression, classification, clustering, and recommendation systems on Spark 2.x's distributed processing environment. This course starts off with an introduction of the 2 ML libraries available in Spark 2; the older spark.mllib library built on top of RDDs and the newer spark.ml library built on top of dataframes. You will get to see the two compared to help you know when to pick one over the other. You will get to see a classification model built using Decision Trees the old way, and see how you can implement the same model on the newer spark.ml library. The course covers many features of Spark 2, including going over a brand new feature in Spark 2, the ML pipelines used to chain your data transformations and ML operations. At the end of this course you will be comfortable using the advanced features that Spark 2 offers for machine learning. You'll learn to use components such as Transformers, Estimators, and Parameters within your ML pipelines to work with distributed training at scale.
Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, 277kbps
Аудио: AAC, 44.1kHz, 64kbps, stereo
Для скачивания .torrent файлов необходима регистрация
Сайт не распространяет и не хранит электронные версии произведений, а лишь предоставляет доступ к создаваемому пользователями каталогу ссылок на торрент-файлы, которые содержат только списки хеш-сумм
[Профиль]  [ЛС] 

bot · 18-Июл-18 11:23 (спустя 16 сек.)

Тема была перенесена из форума Оформление раздач (Группа "Top Seed") в форум Программирование (видеоуроки)