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185384622
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback
Lambar abu:
185384622
XAF 31697
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Yi Oda yanzu, a samu nan da Talata, Yuli 28
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Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms.
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What Stands Out
Expert Techniques
Offers advanced strategies for implementing and fine-tuning algorithms, ensuring users can elevate their machine learning models to meet specific project requirements and industry standards.
Comprehensive Guidance
Covers a broad range of popular algorithms with step-by-step instructions, making complex concepts accessible for learners at all levels and enhancing their data science skillset.
Practical Applications
Includes real-world examples and case studies, demonstrating how to apply machine learning algorithms effectively, thus bridging the gap between theory and practice for better understanding.
Bayanin samfur
| Manual & guide type | Instruction Manual |
| Book format | Paperback |
| Skill level | Expert |
| Pages | 576 |
| Language | English |
| Brand | Giuseppe-Bonaccorso |
| Author | Giuseppe Bonaccorso |
| Genre | Education |
| Bisac subject heading | Computers |
| Height | 9.25 in (23.5 cm) |
| Original languages | English |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
-
Aspiring Data Scientists
This book is ideal for beginners aiming to understand and implement machine learning algorithms effectively.
-
Intermediate Practitioners
Experienced users looking to deepen their knowledge and fine-tune their machine learning models will find valuable insights.
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Academic Professionals
Researchers and educators can utilize this book to support their curriculum and enhance teaching methods in machine learning.
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Absolute Beginners
Those with no prior knowledge of programming or statistics may find the material too advanced and challenging to grasp.
KWATANCEN ABUN
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback
Kuna da wata tambaya? Yi taɗi da mu
Tambayoyi & Amsoshi na Abokan Ciniki
-
Tambaya:
Is this book suitable for beginners?
Amsa: A basic knowledge of machine learning is preferred to get the best out of this guide. -
Tambaya:
Does the book cover the latest tools?
Amsa: Yes, the updated second edition covers TensorFlow 2.x and Python 3.8. -
Tambaya:
Who is the target audience for this book?
Amsa: This book is targeted at data science professionals who want to learn about complex machine learning algorithms.
Giuseppe Bonaccorso Data Modeling & Design Books Editorial Review
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XAF 31697
Yi Oda yanzu, a samu nan da Talata, Yuli 28
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Fasaloli & Fa'idoji
- Comprehensive guide to mastering machine learning algorithms.
- Covers popular techniques for supervised, unsupervised, and semi-supervised learning.
- Learn to optimize and evaluate your models effectively.
- Includes implementation using Python libraries like scikit-learn and TensorFlow.
- Ideal for data science professionals looking to enhance their skills.
- Updated edition with the latest advancements and techniques in machine learning.
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