Comprehensive Book for Machine Learning on Images: Review
Explore Essential Insights: Machine Learning for Computer Vision

Comprehensive Book for Machine Learning on Images: Review

This comprehensive and approachable book provides hands-on examples and code snippets for building machine learning applications on images. It covers model architectures, transfer learning, object detection, image segmentation, training pipeline engineering, and advanced topics. While the book is well-constructed, the lack of colored figures and low-quality paper disappoint some readers. Despite this, the book is recommended for both beginners and advanced practitioners in computer vision and machine learning.

Best for
  • Data Scientists
  • Machine Learning Engineers
  • Computer Vision Researchers
  • Software Developers in AI
  • AI Product Managers

Starting from $12, you can purchase this report to access from your inbox and Kimola account.

Purchased users
21 users purchased a report
in the last 24 hours.
One-time purchase without hidden or recurring costs!
Preview

Here you can see the preview of this report containing the analysis of only 14 latest reviews.

Featured Content
  • Best purchase

    It was just what I needed. It saves me so much time of running around finding medium articles to get theoretical knowledge for research based interviews

    Sentiment
    • Positive
    Content
    • Book Quality
  • Expensive book, but worth your money

    If you are starting in ML this books will help you with many of the fundamentals too. Well written and well planned book. They take you slowly from the fundamentals of CNN to ML Ops in production. I took their one star only for the price but book content is 5 star.

    Sentiment
    • Positive
    Content
    • Machine Learning Concepts
  • Canonical guide for ML on images

    I'd recommend this book to anyone doing machine learning with image data. Whether you are a software developer just getting started with ML or have experience building custom models, this book has something for you. It covers everything from common architectures of vision models, types of image prediction tasks, how to process image data, training and evaluating image models, productionizing image models, and more.

    Sentiment
    • Positive
    Content
    • Machine Learning Concepts
  • Easily understandable helpful and for both beginners and both advanced ML practitioners

    Easily understandable helpful and for both beginners and both advanced ML practitioners

    Sentiment
    • Positive
    Content
    • Book Quality
  • Just received this book and the images are in black and white

    Both the figures and the code is black and white.

    I have had other Oreilly books on machine learning (Hands-on Machine Learning and Deep Learning for Coders) and they both had colored figures and colored code.

    Also, the paper quality is very low( not smooth like other oreilly coding books).

    did I get a fake/cheaper version?

    Sentiment
    • None
    Content
    • Color of Figures and Code
  • Nice book, but the black & white images are a letdown

    The book is well-written and the content is of high quality, however black and white pictures for a ML book on computer vision are a bit of a letdown. With color pictures I would have probably given 5 stars

    Sentiment
    • None
    Content
    • Color of Figures and Code
  • See All Reviews
Similar Reports
  1. Amazon Product Reviews 73
  2. Amazon Product Reviews 70
  3. Amazon Product Reviews 71
Frequently Asked Questions
  • This page displays purchase options and a preview of the customer feedback analysis report for Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images: based on online reviews collected from Amazon. The analysis helps Data Scientists, Machine Learning Engineers, Computer Vision Researchers, Software Developers in AI, AI Product Managers to discover insights into what people love, dislike, and need.

  • This report provides the Net Promoter Score, sentiment analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF format, and all the reviews are available in Excel.

  • Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media.

  • Yes, you can, and this is the fun part about Kimola! Kimola turns customer feedback into market research by analyzing online reviews from various sources.

  • Yes, you can have this research report analyzed with more reviews. The page you are viewing displays a limited preview with the analysis of 14 recent reviews. Starting from $12, you can buy the complete version of this research report containing all reviews. Click here to see the purchase options.

Legal Disclaimer

We would like to clarify that this product is not created by Amazon and is not associated with or supported by Amazon in any way.

As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Amazon's terms of use, including copyright regulations, when utilizing the extracted review data.