Data Science from Scratch: First Principles with Python (Paperback)
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Data Science from Scratch: First Principles with Python (Paperback)
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.
Data Science from Scratch: First Principles with Python (Paperback)
Artigo n.º: 21309672

Data Science from Scratch: First Principles with Python (Paperback)

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Artigo n.º: 21309672

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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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O que se Destaca

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.

Detalhes do produto

Shop Data Science from Scratch: First Principles with Python (Paperback) online at a best price in São Tomé and Príncipe. 322908613
  • 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 formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJune, 2019
Pages403
Reading levelProfessional and Scholarly
SubgenreComputers
Edition2
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Edu focusMathematics
Awards wonNone
Is collectibleN
Binding typePerfect Binding
Assembled product height9.1 in (23.1 cm)
Assembled product weight1.4 lb (640 grams)
Bisac subject headingComputers

Quem Deverá Comprar?

Suitable For
  • 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.

Not Suitable For
  • Advanced Practitioners

    Not suitable for experienced data scientists seeking advanced topics or specialized techniques beyond the fundamentals.

DESCRIÇÃO DO PRODUTO

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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Perguntas e respostas do cliente

  • Pergunta: What does the book focus on?

    Resposta: The book focuses on teaching the ideas and principles behind data science and guides readers to implement tools and algorithms from scratch.
  • Pergunta: Does the book cover deep learning?

    Resposta: Yes, the book includes new material on deep learning, along with statistics and natural language processing.
  • Pergunta: Is the book updated for Python 3.6?

    Resposta: Yes, the second edition of the book is updated for Python 3.6.

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Recursos e benefícios

  • 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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