ProductizeML
  • ProductizeML
  • Introduction
    • Objectives
    • About the Course
    • Guidelines
    • Syllabus
    • After Completion
  • Machine Learning
    • Why ML, and why now
    • Supervised Learning
    • Unsupervised Learning
    • Deep Learning
    • ML Terminology
  • Data Management
    • Data Access
    • Data Collection
    • Data Curation
  • Train and Evaluate
    • Framework and Hardware
    • Training Neural Networks
    • Model Evaluation
  • Productize It
    • ML Life Cycle
    • Business Objectives
    • Data Preparation
    • Model Development
    • Train, Evaluate, and Deploy
    • A/B Testing
    • KPI Evaluation
    • PM Terminology
  • Resources
    • Readings
    • Courses
    • Videos
  • Hands-On
    • Python for Machine Learning
      • Python Installation
        • MacOS
        • Linux
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  • Required Readings
  • Interesting readings

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  1. Resources

Readings

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Last updated 2 years ago

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Required Readings

Name
Author(s)
Publisher
Year

Martin Zinkevich

Google

2020

People + AI Research (PAIR)

Google

2020

Apple's WWDC 2019

Apple

2019

V.M. Megler

Amazon Web Services

2019

First Round

Benedict Evans

2018

Synthesized

Synthesized

2020

Yavel Gavish

Medium

2017

Interesting readings

Name
Author(s)
Publisher
Year

Trey Causey

Medium

2017

Justin Norman, Peter Skomoroch and Mike Loukides

O'Reilly

2020

Matt Fyles

Peter Skomoroch and Mike Loukides

O'Reilly

2020

Nisha Talagala

Oracle

2019

Brendan Fortuner

2020

Rules of Machine Learning
People + AI Guidebook
Designing Great ML Experiences
Managing Machine Learning Projects
Everything We Wish We'd Known About Building Data Products
DJ Patil
Does AI make strong tech companies stronger?
Shipping disruptive ML/AI products at scale (not papers)
The Step-By-Step PM Guide to Building Machine Learning Based Products
Rise of the Data Product Manager
Practical Skills for The AI Product Manager
What does Machine Learning look like?
What you need to know about product management for AI
7 Artificial Intelligence Trends and How They Work With Operational Machine Learning
Machine Learning Glossary