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Item #:
91464130
PYTHON MACHINE LEARNING: The Ultimate Beginners Guide to Understanding Machine Learning, Deep Learning and Neural Networks with Python
Item #:
91464130
AED 78
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This book gives you the opportunity to understand how python machine learning works and how to learn and apply these techniques in everyday life.
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What Stands Out
Comprehensive Coverage
Covers machine learning, deep learning, and neural networks, offering a complete understanding for beginners through clear explanations and practical examples.
Hands-On Approach
Encourages practical engagement with Python coding examples, enabling readers to apply concepts in real-world scenarios and enhance their learning experience.
Beginner-Friendly
Structured in an accessible format that breaks down complex topics, making it perfect for novices eager to grasp machine learning fundamentals without prior experience.
Product Details
| Publisher | Independently published |
| Publication date | December 29, 2019 |
| Language | English |
| Print length | 205 pages |
| ISBN-10 | 1652670122 |
| ISBN-13 | 978-1652670124 |
| Item Weight | 13.1 ounces (371.39 grams) |
| Dimensions | 6 x 0.52 x 9 inches (15.2 x 1.3 x 22.9 cm) |
Who Should Buy?
-
Absolute Beginners
Those with no prior experience in programming or machine learning looking for a clear and structured introduction.
-
Self-learners
Individuals seeking to learn at their own pace through practical examples and hands-on coding exercises.
-
Aspiring Data Scientists
Students or professionals aiming to build foundational knowledge in machine learning to pursue careers in data science.
-
Advanced Practitioners
Experienced data scientists or machine learning experts seeking advanced techniques and in-depth theoretical understanding.
Product Description
PYTHON MACHINE LEARNING: The Ultimate Beginners Guide to Understanding Machine Learning, Deep Learning and Neural Networks with Python
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AED 78
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Features & Benefits
- Ultimate beginner's guide to Python machine learning.
- Explains deep learning and neural networks simply.
- Covers a variety of learning algorithms.
- Includes practical problems and solutions.
- Focuses on best practices and popular libraries.
- Designed to improve your projects and applications.
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