Higher Ed. and Vocational >> Engineering and Computer Science >> Computer Science >> Computer Science


Pragmatic AI: An Introduction to Cloud-Based Machine Learning

Pragmatic AI: An Introduction to Cloud-Based Machine Learning

Author(s):
  • Noah Gift
  • Author: Noah Gift
    • ISBN:9789389342451
    • 10 Digit ISBN:9389342457
    • Price:Rs. 515.00
    • Pages:192
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    Be the first to rate the book !!
    Pragmatic AI is the first truly practical guide to solving real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Writing for students who aren't professional data scientists, Noah Gift demystifies all the tools and technologies you need to get results. He illuminates powerful off-the-shelf cloud-based solutions from Google, Amazon,
    and Microsoft, as well as accessible techniques using Python. Throughout, readers find simple, clear, and effective working solutions that show them how to apply machine learning, AI and cloud computing together in virtually any organization, creating solutions that deliver results, and offer virtually unlimited scalability."

    Table of Content

    1 Computers, People, and Programming 2 AI and ML Toolchain 3 Spartan AI Lifecycle 4 Cloud AI Development with Amazon Web Services 5 Cloud AI Development with Google Cloud Platform 6 Creating an Intelligent Slackbot on AWS 7 Finding Project Management Insights from a Github Organization 8 Dynamically Optimizing EC2 Instances on AWS 9 Production AI for User Generated Content (UGC) 10 Predicting Social-Media Influence in the NBA 11 Real Estate"

    Salient Features

    1. Illuminates the latest solutions from Google, Amazon, and Microsoft, plus powerful techniques based on Python and R 2. Real-world examples and workflows show how machine learning, AI, and cloud computing come together in real business solutions 3. Covers every step from deployment to production, focusing on cloud environments that maximize scalability and simplify deployment 4. Addresses coding, libraries, statistical techniques, modeling for fast prototyping, and more