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Data Science from Scratch 2e: First Principles with Python
88% من المشترين سيوصون بهذا المنتج لصديق
IQD 87394
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
*سيتم استيراد جميع العناصر من المملكة المتحدة
كمية:
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Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch
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سريع
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منتجات أصلية %100
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تفاصيل المنتج
- Updated for Python 3.6, this second edition of Data Science from Scratch focuses on mastering data science tools and understanding the principles underlying them
- Authored by Joel Grus, the book is designed to help readers with mathematics, statistics, and programming skills to get started as a data scientist
- Includes new material on deep learning, statistics, and natural language processing
- Provides a crash course in Python and covers the basics of linear algebra, statistics, and probability as used in data science
- Teaches how to collect, explore, clean, and manipulate data, as well as dive into the fundamentals of machine learning and implement various models
- Covers topics like recommender systems, natural language processing, network analysis, MapReduce, and databases
| Publisher | Ou2032Reilly |
| Publication date | 30 April 2019 |
| Edition | 2nd |
| Language | English |
| Print length | 403 pages |
| ISBN-10 | 1492041130 |
| ISBN-13 | 978-1492041139 |
| Item weight | 712 g |
| Dimensions | 17.53 x 2.29 x 23.11 cm |
من يجب أن يشتري؟
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Beginners in Data Science
Ideal for those who want to learn data science principles without prior knowledge or complex jargon.
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Python Programmers
Perfect for individuals already familiar with Python programming looking to expand their skills towards data science.
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Self-learners
Great for self-taught individuals seeking a structured introduction to data science concepts and methods.
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Advanced Data Scientists
Not suitable for those with extensive experience in data science seeking advanced or specialized techniques.
وصف المنتج
Data Science from Scratch 2e: First Principles with Python
About This Item
Are you interested in diving into the world of data science with Python? Look no further than "Data Science from Scratch: First Principles with Python 2nd Edition." This book is perfect for beginners who want to learn Python data science principles and techniques. Whether you're a student, a professional looking to upskill, or someone who simply has a passion for data analysis, this book is a must-have. The second edition offers updated material and a comprehensive introduction to data science concepts using Python. Learn how to harness the power of Python to extract insights from data and uncover patterns that will drive decision-making. With easy-to-follow explanations and step-by-step examples, you'll quickly gain a solid foundation in Python data science. The book covers a wide range of topics, including data visualization, statistical analysis, machine learning, and much more.
With its hands-on approach, you'll not only understand the theory behind data science but also apply it to real-world projects. Whether you're a complete beginner or already have some experience with Python, "Data Science from Scratch: First Principles with Python 2nd Edition" is written in a way that makes complex concepts accessible. You'll feel confident in your ability to tackle data science problems head-on. So, if you're ready to unlock the potential of Python for data science, order your copy of "Data Science from Scratch: First Principles with Python 2nd Edition" today. Start your journey to becoming a proficient Python data scientist and gain the skills needed to succeed in this rapidly growing field.
أسئلة العملاء & الإجابات
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سؤال:
What is the focus of the book?
إجابه: The focus is to help readers master the principles and tools of data science -
سؤال:
What topics are covered in the book?
إجابه: Python, linear algebra, statistics, probability, machine learning models and techniques, deep learning, natural language processing are covered, among others -
سؤال:
Is the book updated for the latest version of Python?
إجابه: Yes, the second edition of the book is updated for Python 3.6
Data Mining Editorial Review
In a recent editorial review of the book "Data Science from Scratch: First Principles with Python," the reception among readers was somewhat mixed. While some customers praised the content and acknowledged the book as a valuable resource, there were several criticisms regarding the print version of the book. One customer highlighted that the print was often illegible and mentioned that the book seemed more suitable for individuals with a stronger mathematical background. Another customer found that the black and white printing hindered the readability, particularly for code sections, and recommended opting for an electronic version instead. On the positive side, some customers appreciated the updated content for Python 3 and felt that the book effectively approached the topic from the ground up. However, there were disappointments related to the inaccurate page count and the lack of color printing, which was seen as crucial for conveying important information in a technical book like this. To conclude, while "Data Science from Scratch" offers valuable content for those with a foundational knowledge of Python and an interest in data science, the concerns about illegibility and lack of color printing in the print version raise questions about the overall reading experience. **
مراجعات العملاء وتقييماتهم
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إيجابيات
- Updated content for Python 3
- Comprehensive approach to the topic from the ground up
- Valuable for revisiting mathematics alongside coding
سلبيات
- Illegible print in places
منصة موثوقة وثقة كاملة للمشتري
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IQD 87394
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كمية:
نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.
المميزات والفوائد
- Master not only the tools, but also understand the principles of data science
- Learn Python, linear algebra, statistics, and probability
- Explore machine learning models and techniques
- Get updated material on deep learning and natural language processing
ضمان Ubuy
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