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Item #:
13456445
Machine Learning with Python: Hands-On Learning for Beginners
Item #:
13456445
AMD 12049
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What Stands Out
Beginner-Friendly Approach
This book offers a hands-on approach tailored for beginners, providing clear explanations and practical examples to seamlessly introduce machine learning concepts using Python.
Comprehensive Coverage
It covers essential machine learning topics including algorithms, data preparation, and model evaluation, giving readers a thorough understanding and practical skills to apply in real-world scenarios.
Interactive Learning
Includes exercises and projects that encourage interaction, helping users to tackle real problems and reinforce learning through practice, making the theoretical aspects of machine learning more applicable.
Product Details
| Publisher | Independently published |
| Publication date | May 27, 2019 |
| Language | English |
| Print length | 182 pages |
| ISBN-10 | 1070493317 |
| ISBN-13 | 978-1070493312 |
| Item Weight | 9 ounces (255.15 grams) |
| Dimensions | 6 x 0.41 x 9 inches (15.2 x 1 x 22.9 cm) |
Who Should Buy?
-
Beginner Programmers
Individuals new to programming who want to learn machine learning concepts in a practical, engaging way.
-
Students & Educators
Those studying computer science or teaching it will find this resource a helpful introduction to machine learning.
-
Data Enthusiasts
People interested in data science looking to expand their skills with accessible machine learning techniques using Python.
-
Advanced Practitioners
Experienced data scientists or machine learning experts may find this book too basic and lacking in advanced techniques.
Product Description
Machine Learning with Python: Hands-On Learning for Beginners
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Intelligence & Semantics Editorial Review
Machine Learning with Python: Hands-On Learning for Beginners is designed to introduce readers to fundamental concepts and practices in machine learning and Python programming. This book, published independently on May 27, 2019, spans 182 pages and is written in English, offering a user-friendly approach to learning complex algorithms and their implementation in Python. While it aims to guide beginners, some reviews highlight issues like lack of detailed explanations of machine learning algorithms and improper formatting of code examples. Users have found the book partially helpful for learning Python basics, yet express disappointment in the integration of machine learning concepts with practical applications.
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Pros
- User-friendly for Python beginners
- Covers basic machine learning concepts
- Good for those interested in algorithms
- Independent publication provides unique insights
- Compact length for quick learning
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