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Item #:
52260140
Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)
85% of respondents would recommend this to a friend
Item #:
52260140
HUF 20023
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What Stands Out
Comprehensive Overview
Offers a thorough introduction to machine learning, covering foundational concepts, methodologies, and real-world applications that cater to beginners and enthusiasts looking to understand the field's essentials.
Methodology Focus
Emphasizes various machine learning methodologies, providing readers with practical insights and strategies to implement these techniques, making it valuable for learners and professionals seeking to apply machine learning effectively.
Real-world Applications
Illustrates how machine learning is applied across different industries, enabling readers to grasp its relevance and potential, thus facilitating better comprehension and engagement with the material.
Product Details
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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Beginner Enthusiasts
Individuals new to machine learning seeking a comprehensive introduction to fundamental concepts and techniques in the field.
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Academic Students
Students enrolled in data science or computer science programs needing a foundational resource for coursework and projects.
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Professionals Transitioning
Industry professionals aiming to pivot into machine learning roles, requiring basic knowledge before advancing to complex topics.
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Advanced Practitioners
Experienced machine learning practitioners may find the content too basic and lacking in advanced methodologies or applications.
Product Description
Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)
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Pros
- Excellent performance and reliability
- User-friendly design
- Highly durable materials
- Great customer support
- Stylish and modern look
Cons
- A bit bulky for smaller spaces.
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HUF 20023
Order now and get it around Saturday, October 10
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Features & Benefits
- Essential guide to understanding machine learning principles.
- Comprehensive coverage of ML methodologies and applications.
- Focus on data, model, and loss for effective ML implementation.
- Equips readers with tools to select the right ML methods.
- Ideal for both beginners and professionals in various fields.
- Promotes understanding of key concepts like regularization and privacy-preservation.
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