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Python Machine Learning - by  Roberta Bowman (Paperback) - 1 of 1

Python Machine Learning - by Roberta Bowman (Paperback)

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About this item

Highlights

  • "Python Machine Learning: Leveraging Python for Implementing Machine Learning Algorithms and Applications" is your comprehensive guide to mastering the art of machine learning using the powerful capabilities of Python.
  • Author(s): Roberta Bowman
  • 82 Pages
  • Computers + Internet, Computer Science

Description



About the Book



Delve into the world of machine learning with Python using Roberta Bowman's "PYTHON MACHINE LEARNING." This comprehensive guide offers practical insights and examples, making it an indispensable resource.



Book Synopsis



"Python Machine Learning: Leveraging Python for Implementing Machine Learning Algorithms and Applications" is your comprehensive guide to mastering the art of machine learning using the powerful capabilities of Python. This book provides practical insights and effective techniques for understanding, implementing, and deploying a wide range of machine learning algorithms to solve complex real-world problems and drive innovation.

Inside this comprehensive guide, you'll explore:

  • Fundamentals of Machine Learning and Python: A comprehensive exploration of the foundational concepts of machine learning and the essential Python programming skills required for implementing machine learning algorithms.
  • Data Preprocessing and Feature Engineering Techniques: Practical guidance on data preprocessing and feature engineering techniques using Python to ensure data quality and suitability for machine learning applications.
  • Supervised Learning Algorithms: How to implement and apply various supervised learning algorithms, including regression, classification, and ensemble methods, to solve predictive modeling problems.
  • Unsupervised Learning Algorithms: Techniques for implementing and utilizing unsupervised learning algorithms, such as clustering and dimensionality reduction, for pattern recognition and data exploration.
  • Model Evaluation and Validation Techniques: Strategies for evaluating and validating machine learning models using Python to assess model performance, accuracy, and generalization capabilities.
  • Deep Learning and Neural Networks: An introduction to deep learning and neural networks using Python, enabling you to build and train complex models for handling sophisticated tasks such as image recognition and natural language processing.

"Python Machine Learning" is more than just a book; it's your key to unlocking the potential of machine learning and artificial intelligence using Python.

Embrace the power of Python for machine learning and unlock the potential for innovation and transformative impact.



Review Quotes




  1. "Roberta Bowman's 'PYTHON MACHINE LEARNING' is an invaluable resource for anyone interested in mastering machine learning with Python. With its clear explanations and practical examples, this book is a must-have for both beginners and seasoned professionals in the field." - Data Science Today
  2. "A comprehensive guide to machine learning! 'PYTHON MACHINE LEARNING' by Roberta Bowman provides an accessible and practical approach to implementing machine learning algorithms using Python. Bowman's expertise shines through, making this book an essential reference for all aspiring data scientists." - Machine Learning Insights Monthly
  3. "An essential resource for machine learning enthusiasts! 'PYTHON MACHINE LEARNING' by Roberta Bowman offers a comprehensive exploration of machine learning concepts with Python. With its clear explanations and real-world applications, this book is a must-read for anyone seeking to delve into the world of machine learning." - Data Analytics Gazette
  4. "A fantastic guide for understanding machine learning! 'PYTHON MACHINE LEARNING' by Roberta Bowman presents a clear and comprehensive approach to leveraging Python for machine learning. Bowman's practical insights and examples make this book an indispensable resource for anyone interested in mastering machine learning techniques." - Tech Data Science Weekly



Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .17 Inches (D)
Weight: .27 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 82
Genre: Computers + Internet
Sub-Genre: Computer Science
Publisher: Roberta Bowman
Format: Paperback
Author: Roberta Bowman
Language: English
Street Date: November 3, 2023
TCIN: 1011992492
UPC: 9783988315823
Item Number (DPCI): 247-29-1246
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.17 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.27 pounds
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