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Nº de artículo:
88691242
Machine Learning For Dummies, Paperback
Nº de artículo:
88691242
PAB 43
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Your comprehensive entry-level guide to machine learning opens up incredible new directions in careers.
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What Stands Out
Beginner Friendly
Designed for newcomers, this guide simplifies complex concepts, making machine learning approachable for those without a technical background.
Comprehensive Overview
Covers essential topics in machine learning, delivering a thorough understanding of algorithms, applications, and practical examples for real-world applications.
Practical Resources
Includes hands-on exercises and tips, allowing readers to apply learned concepts immediately, enhancing both learning and retention for aspiring data professionals.
Detalles de producto
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | February, 2021 |
| Pages | 464 |
| Reading level | General |
| Subgenre | Data Science |
| Series title | No Series |
| Number in series | 2 |
| Edition | 2nd Edition |
| Publisher | John Wiley & Sons |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | College |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.2 in (23.4 cm) |
| Assembled product weight | 1.35 lb (610 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginners in ML
Ideal for those new to machine learning who seek a user-friendly introduction without complex jargon or assumptions.
-
Self-learners
Perfect for individuals who prefer self-study, providing clear explanations and practical examples for better understanding.
-
Non-technical Readers
Great for business professionals or enthusiasts looking to grasp ML concepts without a technical background or formal education.
-
Advanced Data Scientists
Not suitable for seasoned practitioners who need in-depth analysis, technical discussions, or advanced algorithm insights.
-
Academic Researchers
May lack rigorous theoretical foundations and citations, making it less appealing for scholarly work or advanced studies.
-
Professionals in AI
Not ideal for those working directly in AI who require specialized knowledge and the latest trends in the field.
DESCRIPCIÓN DEL PRODUCTO
Machine Learning For Dummies, Paperback
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Preguntas y respuestas de los clientes
-
Pregunta:
Do I need prior programming experience to understand this book?
Respuesta: No, the book is designed for beginners and does not assume prior programming knowledge. -
Pregunta:
What tools will I learn to use?
Respuesta: You will learn to work with Python 3.8, TensorFlow 2.x, and R, among other tools. -
Pregunta:
How can this book help my career?
Respuesta: By mastering machine learning principles, you can enhance your business skills and open up new career opportunities.
John Paul Mueller All Books Editorial Review
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características y beneficios
- Comprehensive entry-level guide to machine learning.
- Recommended by Mark Cuban for understanding A.I.
- Covers practical applications for career advancement.
- No prior programming experience required.
- Updated with the latest tools like Python 3.8 and TensorFlow 2.x.
- Friendly approach that makes learning accessible and fun.
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