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Python Machine Learning By Example

Python Machine Learning By Example

By : Yuxi (Hayden) Liu
4.9 (9)
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Python Machine Learning By Example

Python Machine Learning By Example

4.9 (9)
By: Yuxi (Hayden) Liu

Overview of this book

The fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts. Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine. This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.
Table of Contents (18 chapters)
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16
Other Books You May Enjoy
17
Index

Exercises

  1. As mentioned before, can you try to fine-tune the CNN image classifier and see if you can beat what we have achieved?
  2. Can you also employ the dropout technique to improve the CNN model?
  3. Can you experiment with using the pretrained Vision Transformer model: https://huggingface.co/google/vit-base-patch16-224?

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