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제품번호 #:
90224806
Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions, (Paperback)
94% of respondents would recommend this to a friend
제품번호 #:
90224806
KRW 88957
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This hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data.
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What Stands Out
Comprehensive Learning
Covers both Python and Spark, offering a deep understanding of data analytics and machine learning techniques, making it ideal for beginners and experienced data professionals.
Hands-On Approach
Includes practical examples and real-world projects, enabling readers to apply concepts immediately and solidify their learning through practice.
Focused on Scale
Specifically designed for large-scale data analysis, empowering users to tackle big data challenges efficiently, setting it apart from traditional analytics guides.
제품 세부 정보
- Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | February, 2024 |
| Pages | 422 |
| Reading level | General |
| Subgenre | Database Administration & Management |
| Series title | No Series |
| Edition | 1 |
| Publisher | Cambridge University Press |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | College |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.69 x 0.94 x 9.53 in (17 x 2.4 x 24.2 cm) |
| Assembled product weight | 1.7 lb (770 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Scientists
Ideal for data scientists aiming to enhance their skills in machine learning using Python and Spark frameworks.
-
Machine Learning Enthusiasts
Perfect for learners eager to understand machine learning applications through practical examples and hands-on projects.
-
Big Data Engineers
Beneficial for engineers seeking to implement scalable data analytics solutions effectively using modern technologies.
-
Total Beginners
Not suitable for individuals with no prior coding or data analysis knowledge as it requires some foundational skills.
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장점
- Comprehensive hands-on examples
- Clear explanations of concepts
- Useful for beginners and experts
- Covers both Python and Spark
- Great real-world applications
단점
- Some examples may require additional setup.
Product Price History
중요 정보
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KRW 88957
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특징 및 장점
- Comprehensive guide on large-scale data analytics with Python and Spark.
- Focuses on essential principles without overwhelming details.
- Includes real-world examples and hands-on coding exercises.
- Well-defined learning objectives and exercises with online solutions.
- Accompanies lectures with structured lab exercises in Jupyter Notebooks.
- Ideal for graduate-level courses in computer/data science departments.
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