Description: About this Item The item is a book Paperback The Author Name is Wee Hyong Tok The Title is Practical Automated Machine Learning on Azure : Using Azure Machine Learning to Quickly Build AI Solutions Condition New Other Comments Pages Count - 196. Category - Computers Product Description - Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology. Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, you'll understand how to apply Automated Machine Learning to your data right away. Learn how companies in different industries are benefiting from Automated Machine LearningGet started with Automated Machine Learning using AzureExplore aspects such as algorithm selection, auto featurization, and hyperparameter tuningUnderstand how data analysts, BI professionals, and developers can use Automated Machine Learning in their familiar tools and experiencesLearn how to get started using Automated Machine Learning for use cases including classification and regression. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167505158
Price: 82.05 USD
Location: US
End Time: 2024-11-22T12:33:31.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media, Inc, USA
Weight: 0.32
Style: NA
Title: Practical Automated Machine Learning on Azure Using Azure Machi
Release Title: Practical Automated Machine Learning on Azure Using Azure Machi
Record Grading: New
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Film/TV Title: Practical Automated Machine Learning on Azure Using Azure Mach
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Movie/TV Title: Practical Automated Machine Learning on Azure Using Azure Mach
UPC: 9781492055594
EAN: 9781492055594
ISBN: 9781492055594
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Number of Pages: 196 Pages
Publication Name: Practical Automated Machine Learning on Azure : Using Azure Machine Learning to Quickly Build AI Solutions
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Intelligence (Ai) & Semantics, General, Data Processing, Enterprise Applications / General
Item Height: 0.6 in
Publication Year: 2019
Type: Textbook
Item Weight: 12.6 Oz
Subject Area: Computers, Science
Item Length: 9.1 in
Author: Parashar Shah, Deepak Mukunthu, Wee Hyong Tok
Item Width: 7 in
Format: Trade Paperback
