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Preces #:
88691242
Machine Learning For Dummies, (Paperback)
Preces #:
88691242
€ 35
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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.
Produkta informācija
| 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.
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Advanced Data Scientists
Not suitable for seasoned practitioners who need in-depth analysis, technical discussions, or advanced algorithm insights.
PRODUKTA APRAKSTS
Machine Learning For Dummies, (Paperback)
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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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Pros
- 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
Mīnusi
- Not suitable for advanced machine learning experts
Product Price History
Svarīga informācija
- Ierobežojumi: attiecībā uz produktiem, kas tiek nosūtīti starptautiski, lūdzu, ņemiet vērā, ka jebkura ražotāja garantija var nebūt derīga; ražotāja servisa iespējas var nebūt pieejamas; produktu rokasgrāmatas, instrukcijas un drošības brīdinājumi var nebūt galamērķa valsts valodās; produkti (un pavadošie materiāli) var nebūt izstrādāti saskaņā ar galamērķa valsts standartiem, specifikācijām un marķēšanas prasībām; un produkti var neatbilst galamērķa valsts spriegumam un citiem elektriskajiem standartiem (ja nepieciešams, nepieciešams adapteris vai pārveidotājs). Par to, lai produktu varētu likumīgi ievest galamērķa valstī, ir atbildīgs saņēmējs. Pasūtot no Ubuy vai tā saistītajiem uzņēmumiem, saņēmējs ir ierakstu importētājs, un viņam jāievēro visi galamērķa valsts tiesību akti un noteikumi.
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€ 35
Pasūtiet tūlīt un saņemiet to Sestdiena, Oktobris 03
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Funkcijas un priekšrocības
- 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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