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Nº de artículo:
85512405
Machine Learning: The Ultimate Guide To Machine Learning, Neural Networks A...
90% of respondents would recommend this to a friend
Nº de artículo:
85512405
DOP 1837
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This new book on Machine Learning will explain the concepts, methods, and history behind Machine Learning, igniting your passion in this revolutionary topic.
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What Stands Out
Comprehensive Coverage
This ultimate guide offers exhaustive insights into machine learning and neural networks, catering to both beginners and advanced learners, making it a go-to resource for grasping complex concepts effortlessly.
Practical Applications
Real-world examples and case studies included in the guide help bridge the gap between theory and practice, enabling readers to apply their knowledge directly in various sectors, enhancing learning effectiveness.
Structured Learning Path
The book presents a systematic approach to learning, progressively building knowledge from basic to advanced topics, ensuring readers develop a strong foundation and confidence in machine learning principles.
Detalles de producto
| Book Title | Machine Learning: The Ultimate Guide To Machine Learning, Ne... |
| ISBN | 9781727831962 |
| Subject Area | Computers, Science |
| Publication Name | Machine Learning: the Ultimate Guide to Machine Learning, Neural Networks and Deep Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More |
| Publisher | CreateSpace |
| Item Length | 10 in (25.4 cm) |
| Subject | Machine Theory, General |
| Publication Year | 2018 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.4 in (1.02 cm) |
| Author | Herbert Jones |
| Item Weight | 16.5 Oz (467.78 grams) |
| Item Width | 8 in (20.32 cm) |
| Number of Pages | 180 Pages |
Who Should Buy?
-
Beginners
This guide provides foundational concepts and practical examples for those new to machine learning and neural networks.
-
Data Scientists
Experienced data scientists can enhance their skills with advanced techniques and applications showcased in this comprehensive resource.
-
Students
University students studying AI or data science will find valuable insights and practical projects to support their learning.
-
Advanced Practitioners
Experts in machine learning may find the content too basic and not challenging enough for their expertise.
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Preguntas y respuestas de los clientes
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Pregunta:
Is this book suitable for complete beginners?
Respuesta: Yes, the book is specifically designed for beginners with no prior knowledge. -
Pregunta:
What topics does the book cover?
Respuesta: It covers Machine Learning, Neural Networks, Deep Learning, and their applications. -
Pregunta:
How many pages does the book have?
Respuesta: The book contains 182 pages filled with essential information.
Revisión editorial
Machine Learning: The Ultimate Guide To Machine Learning, Neural Networks and Deep Learning for Beginners is an essential textbook for anyone interested in understanding the fundamental concepts of artificial intelligence and data mining. Authored by Herbert Jones, this 180-page guide offers clear insights into various applications of machine learning. Written in English and published by CreateSpace in 2018, it is designed for readers seeking to explore the expansive field of big data and machine theory. The trade paperback format ensures it is accessible, while its comprehensive approach allows beginners to grasp complex topics with ease.
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ventajas
- Comprehensive coverage of machine learning concepts
- Accessible for beginners in AI
- Includes applications in big data
- Well-structured for easy understanding
- Published by a reputable company
Contras
- Some readers may prefer a hardcover option
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características y beneficios
- Comprehensive guide covering Machine Learning, Neural Networks, and Deep Learning.
- Designed for beginners seeking to understand AI applications and concepts.
- Avoids overly complex math and jargon, keeping it relatable and engaging.
- Explains how tech companies use data to influence decisions and predictions.
- Combines three essential manuscripts into one powerful resource.
- Empowers readers to not give up on learning about a transformative technology.
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