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20132262
Data Science Programming All-In-One for Dummies, (Paperback)
Č. položky:
20132262
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What Stands Out
Comprehensive Coverage
Offers an in-depth overview of essential programming languages and data science fundamentals, making it suitable for both beginners and experienced professionals looking to deepen their knowledge.
Practical Examples
Includes real-world applications and practical examples that enhance understanding, enabling readers to apply programming concepts effectively in data science projects.
User-Friendly Format
Structured in a clear and concise manner, this guide facilitates easy navigation and comprehension, catering to various learning styles for effective study and reference.
Detaily produktu
- Your logical, linear guide to the fundamentals of data science programming Data science is exploding--in a good way--with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you're a beginning student or already mid-career, get your copy now and add even more meaning to your life--and everyone else's!
| Publication date | January, 2020 |
| Author | John Paul Mueller |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 768 |
| Age group | Adult |
| Binding type | Perfect Binding |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Wiley |
| Educational level | General |
| Reading level | General |
| Subgenre | Data Science |
| Original languages | English |
| Edu focus | Mathematics |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 1 |
| Language | English |
| Pub date | 2020-01-09 |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Aspiring Data Scientists
Individuals looking to enter the data science field will find essential programming skills and concepts clearly outlined.
-
Students and Learners
Students studying data science can use this guide to deepen their understanding of programming languages and data analysis.
-
Professionals Upskilling
Current professionals seeking to transition into data-centric roles can leverage this resource to enhance their programming expertise.
-
Experienced Data Scientists
Veteran data scientists may find the content too basic and lacking advanced insights or techniques in data science.
OPIS PRODUKTU
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John Paul Mueller All Books Editorial Review
Data Science Programming All-In-One for Dummies, (Paperback) is a comprehensive guide that covers various aspects of data science in a non-fiction format. With 768 pages of valuable content published by Wiley in January 2020, this book is designed for a general reading level, making it accessible to a wide audience. It encompasses various topics within the computing and internet genre, focused primarily on mathematics related to data science. The perfect binding ensures durability, while its dimensions make it a practical addition to any bookshelf. Readers looking to delve into data science will find this resource both informative and engaging.
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Pros
- Comprehensive coverage of data science topics
- Accessible for general readers
- Published by a reputable publisher
- Durable perfect binding for longevity
- Well-organized content for easy navigation
Zápory
- May not cover advanced topics in depth
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