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Machine Learning with Python - (De Gruyter Stem) by  Tarkeshwar Barua & Kamal Kant Hiran & Ritesh Kumar Jain & Ruchi Doshi (Paperback) - 1 of 1

Machine Learning with Python - (De Gruyter Stem) by Tarkeshwar Barua & Kamal Kant Hiran & Ritesh Kumar Jain & Ruchi Doshi (Paperback)

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Highlights

  • This book explains how to use the programming language Python to develop machine learning and deep learning tasks.
  • About the Author: Tarkeshwar Barua, Blue Crest Univ., Liberia; Kamal Kant Hiran, Sir Padampat Singhania University, India; Ritesh Kumar Jain, Geetanjali Inst.
  • 486 Pages
  • Computers + Internet, Programming
  • Series Name: de Gruyter Stem

Description



About the Book



This book explains how to use the programming language Python to develop machine learning and deep learning tasks.



Book Synopsis



This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.



About the Author



Tarkeshwar Barua, Blue Crest Univ., Liberia; Kamal Kant Hiran, Sir Padampat Singhania University, India; Ritesh Kumar Jain, Geetanjali Inst. of Tech. Studies, India; Doshi Ruchi, Universidad Azteca, Mexico

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .98 Inches (D)
Weight: 1.7 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 486
Genre: Computers + Internet
Sub-Genre: Programming
Series Title: De Gruyter Stem
Publisher: De Gruyter
Theme: Algorithms
Format: Paperback
Author: Tarkeshwar Barua & Kamal Kant Hiran & Ritesh Kumar Jain & Ruchi Doshi
Language: English
Street Date: September 3, 2024
TCIN: 1007267748
UPC: 9783110697162
Item Number (DPCI): 247-37-6058
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.98 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 1.7 pounds
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