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
TWD 1984
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 美國
QTY:
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
This hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
產品詳情
- 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.
產品描述
客戶問題與解答
-
問題:
如何從 Ubuy 在線購物 Large-Scale Data Analytics with Python and Spark: A?
Answer: 從 Ubuy 在線購物 Large-Scale Data Analytics with Python and Spark: A 非常簡單。. 您只需搜索產品,在結賬時選擇運輸方式,然後將其運送到您所在的位置。 -
問題:
Large-Scale Data Analytics with Python and Spark: A 可以在 Taiwan 在線購物嗎?
Answer: 是的,您可以在 Ubuy Taiwan 以合理的價格購買該產品。. Large-Scale Data Analytics with Python and Spark: A 在本地不可用,但您可以信任我們的快遞服務。 -
問題:
下訂單後需要多長時間才能收到產品?
Answer: 您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間,所以購物時請放心。
Isaac Triguero All Books Editorial Review
Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions is a comprehensive resource for those keen on mastering data analytics techniques. This non-fiction paperback, published by Cambridge University Press, spans 422 pages and is aimed at a general reading level, making it accessible for college students and professionals alike. It delves into essential topics within the scope of database administration and management, presenting delightful insights into implementing machine learning solutions using modern tools like Python and Spark, which readers often find engaging and informative. It is designed to equip readers with practical skills in technology, perfect for those in the computing and internet domain.
Customer Reviews & Ratings
-
5 星
0%
-
4 星
100%
-
3 星
0%
-
2 星
0%
-
1 星
0%
評論這個產品
和其他客戶分享您的想法
優點
- Hands-on guide for practical learning
- Covers machine learning implementations
- Well-structured for educational purposes
- Informative for database administration
- Suitable for college-level readers
缺點
- No collectible value noted
Product Price History
重要資訊
- 限制:對於國際運輸的產品,請注意任何製造商保修可能無效;製造商服務選項可能不可用;產品手冊、說明和安全警告可能不是目的地國家的語言;產品(及隨附材料)的設計可能不符合目的地國家的標準、規範和標籤要求;並且產品可能不符合目的地國家的電壓和其他電氣標準(如果適用,需要使用適配器或轉換器)。收件人有責任確保產品可以合法進口到目的地國家。當從Ubuy或其關聯公司訂購時,收件人是記錄在案的進口人,並且必須遵守目的地國家的所有法律和法規。
- 由於Ubuy是一個全球搜索引擎,因此並非Ubuy上列出的所有產品都在出售。產品受出口/貿易法規的約束。
TWD 1984
立即訂購並活動它 Monday, 十月 26
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
特色和優勢
- 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.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.