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№ на артикул:
88691242
Machine Learning For Dummies, (Paperback)
№ на артикул:
88691242
€ 35
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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.
Информация за продукта
- One of Mark Cuban's top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn't quite mean you can create your own Turing Test-proof android--as in the movie Ex Machina--it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models--and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying--and fascinating--math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.
| 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 |
| Awards won | None |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.2 in |
| 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.
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John Paul Mueller All Books Editorial Review
Machine Learning For Dummies, (Paperback) is a comprehensive guide designed for readers at a general reading level, aimed to simplify complex data science concepts. This non-fiction book, part of the Computing & Internet genre, spans 464 pages and was published by John Wiley & Sons in February 2021. Whether you're a beginner or looking to deepen your technological understanding, this 2nd Edition serves as an excellent resource for college-level students interested in the field of data science. Readers appreciate the straightforward explanations and practical examples, making it an accessible entry point into the world of machine learning.
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Професионалисти
- Comprehensive and easy-to-understand material
- Suitable for general reading levels
- Excellent resource for college students
- Real-world examples aid learning
- Non-fiction, non-technical approach
минуси
- Not suitable for advanced machine learning experts
Product Price History
Важна информация
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€ 35
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Характеристики и предимства
- 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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