Read e-book online A. V. Malyshev, Scientist And Teacher PDF

By Borevich Z. I., Oskolkov A. P., E. V. Podsypanin

Show description

Read Online or Download A. V. Malyshev, Scientist And Teacher PDF

Best nonfiction_1 books

E. M. Forster's Howards End PDF

A meticulously-observed drama of sophistication battle, E. M. Forster's Howards finish explores the clash inherent inside of English society, unveiling the nature of a country as by no means ahead of. This Penguin Classics variation contains an advent and notes by means of David hotel. 'Only attach. .. ' an opportunity acquaintance brings jointly the preposterous bourgeois Wilcox relatives and the smart, cultured and idealistic Schlegel sisters.

Download e-book for kindle: The environment: a revolution in attitudes by Carrie Snyder, Carrie Snyder

An outstanding source on Malaysia's wealthy biodiversity, bringing to existence with pictures and informative textual content all there's to understand in regards to the country's traditional assets.

Additional resources for A. V. Malyshev, Scientist And Teacher

Sample text

We will focus most of our attention in this book on the model training, evaluation, and cross-validation steps for various machine learning techniques, using MLlib and Spark’s core features. Model deployment and integration Once we have found the optimal model based on the train-test loop, we might still face the task of deploying the model to a production system so that it can be used to make actionable predictions. Usually, this process involves exporting the trained model to a central data store from where the production-serving system can obtain the latest version.

First, we mapped our records of (user, product, price) to the records of (product, 1). Then, we performed a reduceByKey operation, where we summed up the 1s for each unique product. Once we have this transformed RDD, which contains the number of purchases for each product, we will call collect, which returns the results of the computation to the driver program as a local Scala collection. We will then sort these counts locally (note that in practice, if the amount of data is large, we will perform the sorting in parallel, usually with a Spark operation such as sortByKey).

However, we must ensure that the machine learning systems designed on Spark also meet these criteria. There is no good in implementing an algorithm that ends up having bottlenecks that cause our system to fail in terms of one or more of these requirements. Designing a Machine Learning System Introducing MovieStream To better illustrate the design of our architecture, we will introduce a practical scenario. Let’s assume that we have just been appointed to head the data science team of MovieStream, a fictitious Internet business that streams movies and television shows to its users.

Download PDF sample

A. V. Malyshev, Scientist And Teacher by Borevich Z. I., Oskolkov A. P., E. V. Podsypanin

by Steven

Rated 4.83 of 5 – based on 16 votes

Author: admin