Learn Pyspark: Build Python-Based Machine Learning and Deep Learning Models
97% of respondents would recommend this to a friend
UZS 779594
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Learn PySpark: Build Python-Based Machine Learning And Deep Learning Models
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Product Details
| Book Title | Learn Pyspark: Build Python-Based Machine Learning And Deep ... |
| ISBN | 9781484249604 |
| Subject Area | Mathematics, Computers |
| Publication Name | Learn Pyspark : Build Python-Based Machine Learning and Deep Learning Models |
| Publisher | Apress L. P. |
| Item Length | 9.3 in (23.6 cm) |
| Subject | Probability & Statistics / General, Databases / General, Programming Languages / Python |
| Publication Year | 2019 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Author | Pramod Singh |
| Item Weight | 16 Oz (453.6 grams) |
| Item Width | 6.1 in (15.5 cm) |
| Number of Pages | Xviii, 210 Pages |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for individuals seeking to enhance data analysis skills and build models using PySpark's capabilities.
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Professionals in AI
Beneficial for those working in machine learning or deep learning, wanting to learn PySpark for better performance.
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Students of Data Tools
Great for students wanting hands-on experience with PySpark to complement their theoretical knowledge in data science.
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Beginner Programmers
Not suitable for individuals without programming experience, as prior Python knowledge is essential for learning PySpark.
Product Description
Customer Questions & Answers
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Question:
What is the main topic of the book?
Answer: The book focuses on using PySpark to build machine learning and deep learning models. -
Question:
Who is the author of the book?
Answer: The book is authored by Pramod Singh. -
Question:
What is the publication date?
Answer: The book was published on September 7, 2019.
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UZS 779594
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Features & Benefits
- Comprehensive guide to mastering PySpark.
- Author Pramod Singh shares expert insights.
- Focuses on building machine learning and deep learning models.
- Published by APRESS, ensuring quality content.
- Convenient paperback format for easy reading.
- Ideal for both beginners and experienced programmers.
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