Order Total (1 Item Items):
Shipping Destination:
Python Machine Learning Example Unlock by Yuxi Liu (15 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (15)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (11)
- As New, Fine or Near Fine (4)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (15)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (2)
- Not Print on Demand (10)
Language (2)
Free Shipping
Seller Location
Seller Rating
-
Soft cover. Condition: As New. 4th Edition. This book is in as new condition. It has never been read. This one is the 4th Edition.
-
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Published by Packt Publishing
paperback. Condition: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
-
-
Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases (Paperback or Softback)
Language: English
Published by Packt Publishing 7/31/2024, 2024
ISBN 10: 1835085628 ISBN 13: 9781835085622
Paperback or Softback. Condition: New. Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases. Book.
-
-
Condition: As New. Unread book in perfect condition.
-
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 40.56
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Python Machine Learning By Example - Fourth Edition: Unlock machine learning best practices with real-world use cases
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Paperback. Condition: Brand New. 518 pages. 1.12x7.50x9.25 inches. In Stock.
-
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Language: English
Published by Packt Publishing Limited, 2024
ISBN 10: 1835085628 ISBN 13: 9781835085622
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 45.97
£ 16.01 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
-
Condition: New. Print on Demand.
-
Condition: New. Print on Demand.
-
Condition: New. PRINT ON DEMAND.
-
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Author Yuxi (Hayden) Liu teaches machine learning from the fundamentals to building NLP transformers and multimodal models with best practice tips and real-world examples using PyTorch, TensorFlow, scikit-learn, and pandasKey Features: Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions Implement ML models, such as neural networks and linear and logistic regression, from scratch Purchase of the print or Kindle book includes a free PDF copyBook Description:The fourth edition of Python Machine Learning by Example is a comprehensive guide for beginners and experienced ML practitioners who want to learn more advanced techniques like multimodal modeling. Written by experienced machine learning author and ex-Google ML engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for ML 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.What You Will Learn: Follow machine learning best practices across data preparation and model development Build and improve image classifiers using Convolutional Neural Networks (CNNs) and transfer learning Develop and fine-tune neural networks using TensorFlow and PyTorch Analyze sequence data and make predictions using RNNs, transformers, and CLIP Build classifiers using SVMs and boost performance with PCA Avoid overfitting using regularization, feature selection, and moreWho this book is for:This expanded fourth edition is ideal for data scientists, ML engineers, analysts, and students with Python programming knowledge. The real-world examples, best practices, and code prepare anyone undertaking their first serious ML project.Table of Contents Getting Started with Machine Learning and Python Building a Movie Recommendation Engine Predicting Online Ad Click-Through with Tree-Based Algorithms Predicting Online Ad Click-Through with Logistic Regression Predicting Stock Prices with Regression Algorithms Predicting Stock Prices with Artificial Neural Networks Mining the 20 Newsgroups Dataset with Text Analysis Techniques Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling Recognizing Faces with Support Vector Machine Machine Learning Best Practices Categorizing Images of Clothing with Convolutional Neural Networks Making Predictions with Sequences Using Recurrent Neural Networks Advancing Language Understanding and Generation with Transformer Models Building An Image Search Engine Using Multimodal Models Making Decisions in Complex Environments with Reinforcement Learning.
