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173224822
Machine Learning with Python: Basic Concepts - Classification Regression - Clustering Paper Cover – January 1, 2024
Item #:
173224822
KGS 2604
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This book deals with all aspects of machine learning, enriched with applications for solving real-world problems in Python.
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What Stands Out
Comprehensive Coverage
This paper meticulously covers key machine learning topics, ensuring readers grasp classification, regression, and clustering concepts, making it suitable for beginners and advanced learners alike.
Hands-On Approach
Provides practical examples and Python code snippets, facilitating a hands-on learning experience that enhances understanding and application of machine learning techniques in real-world scenarios.
Up-to-Date Content
Published in January 2024, this resource includes the latest trends and advancements in machine learning, ensuring that readers are equipped with current knowledge and skills relevant to the evolving field.
Product Details
| Publishers | Distinguished Publishing |
| Date of publicization | January 1, 2024 |
| Language | Turkish |
| Print length | 516 pages |
| ISBN-10 | 9750290275 |
| ISBN-13 | 978-9750290275 |
| Dimensions | 1 x 16 x 24 cm |
Who Should Buy?
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Beginners in ML
Ideal for individuals new to machine learning seeking foundational knowledge in Python applications.
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Students of Data Science
Perfect resource for data science students looking to understand core concepts through practical examples and exercises.
-
Professionals Upskilling
Great for professionals wanting to enhance their skill set or transition into data-centric roles through machine learning.
-
Advanced Practitioners
Not suitable for those with advanced machine learning experience seeking in-depth exploration of complex algorithms.
Product Description
Machine Learning with Python: Basic Concepts - Classification Regression - Clustering Paper Cover – January 1, 2024
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Customer Questions & Answers
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Question:
What topics are covered in the book?
Answer: The book covers basic concepts in machine learning, model creation, evaluation, supervised and unsupervised learning algorithms, and more. -
Question:
Is this book featureable for beginners?
Answer: Yes, the simple narrative makes it accessible to university students and readers of all ages interested in machine learning. -
Question:
Is this book part of a series?
Answer: Yes, it is the second book in a three-book series on Artificial Intelligence.
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KGS 2604
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Features & Benefits
- Comprehensive coverage of machine learning basics.
- Practical applications for real-world problem solving in Python.
- Easy-to-understand narrative suitable for all ages.
- Includes supervised, unsupervised, and reinforcement learning algorithms.
- Detailed discussions on model creation, evaluation, and data science.
- Part of a three-book series on Artificial Intelligence.
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