Building machine learning powered applications : going from idea to product

By:

Ameisen, Emmanuel

Material type: Text

TextPublication details: Mumbai O'Reilly Media 2020Description: xvii, 238pISBN:

9789352139613 (pbk.)

Subject(s):

DDC classification:

006.31 AME

Summary: Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers-including experienced practitioners and novices alike will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Computer science	006.31 AME (Browse shelf(Opens below))	Available		002809
Book	Plaksha University Library	Computer science	006.31 AME (Browse shelf(Opens below))	Available		002810

Browsing Plaksha University Library shelves, Collection: Computer science Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.309 PIC Artificial intelligence : an illustrated history	006.30922 MET Genius makers : the mavericks who brought AI to Google, Facebook, and the world	006.31 ALP Introduction to machine learning	006.31 AME Building machine learning powered applications : going from idea to product	006.31 AME Building machine learning powered applications : going from idea to product	006.31 BAR Bayesian reasoning and machine learning	006.31 BAR Bayesian reasoning and machine learning	Next

https://www.shroffpublishers.com/books/computer-science/artificial-intelligence/machine-learning/9789352139613/

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers-including experienced practitioners and novices alike will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer