We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£39.03
O'Reilly Data Science on AWS - ML Pipeline Implementation Guide
Price data checked 1 day ago
We'll watch every seller, every day. One email when your price arrives.
Pricier than usual. £11 more than the 30-day average — we'd wait.
£39 today · 30-day average £28 · all-time low £16
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 90 days · 90 data points
Price Distribution
Price distribution over 90 days • 5 price ranges
Price Analysis
Most common range: £21-26 (48 days, 53.3%)
Price range: £16 - £41
Price levels: 5 price ranges over 90 days
Description
Key Features
Build and deploy end-to-end data science projects specifically designed for the Amazon Web Services environment.
Unify data science, data engineering, and application development tasks using the integrated Amazon AI and ML stack.
Learn to construct and run continuous cloud-based pipelines that integrate results into applications quickly.
Implement strategies to reduce operational costs and improve performance throughout your machine learning workflows.
Apply machine learning technologies to real-world use cases through practical, hands-on guidance from industry authors.
Product Specifications
- Brand
- O'Reilly
- Format
- paperback
- ASIN
- 1492079391
- Domain
- Amazon UK
- Release Date
- 23 April 2021
- Listed Since
- 08 October 2020
Barcode
No barcode data available
Similar Products You Might Like
Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow
O'Reilly
Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS
Apress
Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
Packt Publishing
Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models
Packt Publishing
Introduction to Machine Learning with Python: A Guide for Data Scientists
O'Reilly
Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch
O'Reilly
MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations
Apress
Large Scale Machine Learning with Python: Learn to build powerful machine learning models quickly and deploy large-scale predictive applications
Packt Publishing
Learn PySpark: Build Python-based Machine Learning and Deep Learning Models
Apress
Advanced Analytics with Spark, 2e: Patterns for Learning from Data at Scale
O'Reilly
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Apress
Official Google Cloud Certified Professional Machine Learning Engineer Study Guide (Sybex Study Guide)
Wiley
Practical Predictive Analytics: Analyse current and historical data to predict future trends using R, Spark, and more
Packt Publishing