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21309672
Data Science from Scratch: First Principles with Python (Paperback)
94% of respondents would recommend this to a friend
Item #:
21309672
SAR 186
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Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
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What Stands Out
Comprehensive Foundation
Offers a solid grounding in data science principles using Python, making it ideal for beginners and those looking to refresh their skills with practical examples.
Hands-On Approach
Emphasizes learning through coding exercises, ensuring that readers can apply theoretical knowledge practically, enhancing retention and understanding.
Clear Explanations
Breaks down complex concepts into easily digestible segments, making it accessible for readers without a prior math or programming background.
Product Details
- Updated for Python 3.6, second edition covers tools, algorithms, and principles from scratch
- Suitable for individuals with mathematical aptitude and programming skills
- Includes new material on deep learning, statistics, and natural language processing
- Provides a crash course in Python and basics of linear algebra, statistics, and probability
- Covers data collection, exploration, cleaning, manipulation, and fundamentals of machine learning
- Discusses various models, recommender systems, natural language processing, network analysis, MapReduce, and databases
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2019 |
| Pages | 403 |
| Reading level | Professional and Scholarly |
| Subgenre | Computers |
| Edition | 2 |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Awards won | None |
| Is collectible | N |
| Binding type | Perfect Binding |
| Assembled product height | 9.1 in |
| Assembled product weight | 1.4 lb (640 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking a foundational understanding of data science concepts and practical Python applications.
-
Self-Learners
Great for individuals who prefer self-study and want to explore data science at their own pace.
-
Python Enthusiasts
Perfect for programmers looking to enhance their skills in data manipulation and analysis using Python.
-
Advanced Practitioners
Not suitable for experienced data scientists seeking advanced topics or specialized techniques beyond the fundamentals.
Product Description
Data Science from Scratch: First Principles with Python (Paperback)
About This Item
Product Title: Data Science from Scratch : First Principles with Python Edition 2 Paperback Are you interested in diving deep into the world of data science? Look no further than Data Science from Scratch: First Principles with Python Edition 2. This comprehensive guide is designed for beginners who want to learn the fundamentals of data science and its applications using Python. With this paperback edition, you will gain a thorough understanding of the core concepts and techniques that are essential in the field of data science. Whether you are a student, a professional looking to enhance your skills, or an entrepreneur venturing into the data-driven business world, this book is the perfect resource to get started. This book covers a wide range of topics, including the basics of data science, Python programming, and essential libraries.
You will also learn about data manipulation, modeling, analysis, and interpretation. With a focus on first principles, the author breaks down each concept, making it easier for beginners to grasp complex topics. As you progress through the book, you will explore real-world case studies and learn how data science is revolutionizing various industries such as healthcare, finance, marketing, and e-commerce. You will also discover how data science is used in artificial intelligence, machine learning, computer vision, and natural language processing. Data Science from Scratch: First Principles with Python Edition 2 provides you with the knowledge and tools you need to kickstart your data science journey.
The author's extensive experience in the field ensures that you receive practical insights and valuable tips throughout the book. To further enhance your learning experience, this edition includes resources such as online courses, certifications, industry trends, and career prospects. You can stay up to date with the latest advancements in data science by exploring blogs, podcasts, forums, conferences, and events. Don't miss out on the opportunity to unlock the potential of data science. Add Data Science from Scratch: First Principles with Python Edition 2 to your cart today and embark on a captivating journey into the world of data science.
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Joel Grus All Books Editorial Review
Data Science from Scratch: First Principles with Python (Paperback) is a comprehensive guide in the realm of computing and internet. Published in June 2019 by O'Reilly Media, this non-fiction book spans 403 pages and is tailored for a professional audience seeking to master data science concepts using Python programming. The detailed exploration of mathematical principles within a practical context makes it an ideal resource for readers aiming to deepen their understanding. This book adopts a hands-on approach, ensuring that concepts are clearly explained while encouraging readers to engage actively in problem-solving. The educational focus on mathematics further enriches the learning experience, facilitating a robust understanding of data science fundamentals.
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Pros
- In-depth exploration of data science principles
- Hands-on approach with practical Python examples
- Suitable for professional and scholarly readers
- Clear explanations of complex mathematical concepts
- Well-structured content for effective learning
Cons
- No collectible value indicated
Product Price History
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Features & Benefits
- Learn data science by implementing tools and algorithms from scratch
- Get comfortable with the math and statistics at the core of data science
- Learn hacking skills needed to start as a data scientist
- Packed with new material on deep learning, statistics, and natural language processing
- Explore a wide range of topics including machine learning, recommender systems, and network analysis
- Updated for Python 3.6
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