Software Alternatives, Accelerators & Startups

Goodreads VS Amazon Machine Learning

Compare Goodreads VS Amazon Machine Learning and see what are their differences

Goodreads logo Goodreads

See what your friends are reading.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Goodreads Landing page
    Landing page //
    2022-11-04
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Goodreads videos

PROS AND CONS OF GOODREADS

More videos:

  • Review - QUITTING GOODREADS & BOOKS I NEED TO READ BEFORE 2020! | BOOKS IN BED
  • Review - WHY I'M NOT USING GOODREADS ANYMORE | Discussion on Reading Challenges, Readathons, and Booktube

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to Goodreads and Amazon Machine Learning)
Books
100 100%
0% 0
AI
0 0%
100% 100
Social Networks
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Goodreads seems to be a lot more popular than Amazon Machine Learning. While we know about 113 links to Goodreads, we've tracked only 2 mentions of Amazon Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Goodreads mentions (113)

  • [Comp Bingo] What did you read last month and what can we learn from it?
    Goodreads.com allows you to browse recent releases. They have lists of books and a bit of code that can link you from one book to other similar books. Here are some lists to get you started: Middle-grade books published in 2023 (has all genres but the fantasy ones are easy to pick out) YA books published in 2023 (has all genres but the fantasy ones are easy to pick out) Most anticipated adult fantasy in 2023. Source: 7 months ago
  • Any recommendations for stuff your kindle day?
    Amazon has a website called goodreads.com that should give you some ideas. Source: about 1 year ago
  • How to deal with mind wandering?
    I have also noticed that joining a readathon on goodreads.com or any other group activity helps to focus better for me. Source: about 1 year ago
  • Martha Wells, A.G. Riddle, and More Audiobooks from Recorded Books
    Personally, I'll also recommend checking out what people say on Goodreads; I usually find the ratings a bit better on there than on Audible. Source: about 1 year ago
  • If you read a lot of books how to remember what you read? How to remember all books you read?
    You can use a site like goodreads.com to make a note of the ones you've read, and give them ratings. You might also keep a journal, so you have it for yourself, on paper. Source: about 1 year ago
View more

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago

What are some alternatives?

When comparing Goodreads and Amazon Machine Learning, you can also consider the following products

LibraryThing - A home for your books.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Bookicious - Find the best new book to read with books collections for makers, founders and entrepreneurs.

Lobe - Visual tool for building custom deep learning models

GoodBooks.io - Largest curated collection of 8,500+ book recommendations.

Apple Machine Learning Journal - A blog written by Apple engineers