Machine Learning Systems
Designs that scale
| Price | $34.68 - $36.55
|
| Rating |   |
| Author | Jeff Smith |
| Publisher | Manning |
| Published | 2018 |
| Pages | 224 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1617293334 |
| ISBN-13 | 9781617293337 |
If you're building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users.
Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java as well.
Chapter 1:
→ https://itbook.store/files/9781617293337/chapter1.pdf
Chapter 4:
→ https://itbook.store/files/9781617293337/chapter4.pdf
Source Code:
→ https://itbook.store/files/9781617293337/sourcecode.zip
- Jeff Smith (2 books)
4 5 34
Similar Books
Building Machine Learning Systems with Python, 2nd Edition
by Luis Pedro Coelho, Willi Richert
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learn...
Price: $49.99 | Publisher: Packt Publishing | Release: 2015
Designing Machine Learning Systems with Python
by David Julian
Machine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of fields, including economics, the natural sciences, web development, and business modeling. In order to harness the power of these systems, it is essential that the practitioner develops a solid understanding of the underlying ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2016
Building Machine Learning Systems with Python, 3rd Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Nick Pentreath
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2015
Mastering Azure Machine Learning, 2nd Edition
by Christoph Korner, Marcel Alsdorf
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logg...
Price: $41.99 | Publisher: Packt Publishing | Release: 2022
Machine Learning Engineering on AWS
by Joshua Arvin Lat
There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS L...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
by Akhil Wali
Clojure for Machine Learning is an introduction to machine learning techniques and algorithms. This book demonstrates how you can apply these techniques to real-world problems using the Clojure programming language.It explores many machine learning techniques and also describes how to use Clojure to build machine learning systems. This bo...
Price: $29.99 | Publisher: Packt Publishing | Release: 2014
F# for Machine Learning Essentials
by Sudipta Mukherjee
The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.If you want to learn how to use F# to build machine learning systems, then this is th...
Price: $39.99 | Publisher: Packt Publishing | Release: 2016