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10 Production-Ready ML Projects Using Cutting-Edge Libraries and Powerful Techniques

Jese Leos
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Published in Applied Machine Learning Solutions With Python: Production Ready ML Projects Using Cutting Edge Libraries And Powerful Statistical Techniques (English Edition)
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Are you tired of learning ML concepts without building anything tangible? Do you want to dive into real-world ML projects and see how the theory translates into practice? If so, this book is for you.

In this book, you'll work on 10 end-to-end ML projects that cover a wide range of applications, from image classification to natural language processing. You'll learn how to use cutting-edge ML libraries and techniques to solve real-world problems.

Applied Machine Learning Solutions with Python: Production ready ML Projects Using Cutting edge Libraries and Powerful Statistical Techniques (English Edition)
Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)
by brahim aouinat

5 out of 5

Language : English
File size : 7228 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 358 pages

Each project is carefully designed to be:

  • Production-ready: The projects are designed to be deployed into production and used by real users.
  • Educational: The projects are accompanied by detailed explanations and tutorials that will help you understand the concepts behind the code.
  • Challenging: The projects are designed to push your skills and help you learn new things.

Here's a summary of the 10 projects included in the book:

  1. Image Classification with Convolutional Neural Networks (CNNs)
  2. Object Detection with Region-based Convolutional Neural Networks (R-CNNs)
  3. Semantic Segmentation with Fully Convolutional Networks (FCNs)
  4. Natural Language Processing with Recurrent Neural Networks (RNNs)
  5. Machine Translation with Transformers
  6. Time Series Forecasting with Long Short-Term Memory (LSTM) Networks
  7. Anomaly Detection with Autoencoders
  8. Recommender Systems with Collaborative Filtering
  9. Computer Vision for Self-Driving Cars
  10. Natural Language Processing for Chatbots

By the end of this book, you'll be able to:

  • Build and deploy production-ready ML models
  • Understand the concepts behind cutting-edge ML libraries and techniques
  • Solve real-world problems with ML

If you're ready to take your ML skills to the next level, then this book is for you.

Free Download your copy today!

Production Ready ML Projects Using Cutting Edge Libraries And Powerful Techniques Applied Machine Learning Solutions With Python: Production Ready ML Projects Using Cutting Edge Libraries And Powerful Statistical Techniques (English Edition)

Applied Machine Learning Solutions with Python: Production ready ML Projects Using Cutting edge Libraries and Powerful Statistical Techniques (English Edition)
Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)
by brahim aouinat

5 out of 5

Language : English
File size : 7228 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 358 pages
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The book was found!
Applied Machine Learning Solutions with Python: Production ready ML Projects Using Cutting edge Libraries and Powerful Statistical Techniques (English Edition)
Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)
by brahim aouinat

5 out of 5

Language : English
File size : 7228 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 358 pages
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