Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural ... Learning In Python (Computer Networking Easy)
Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural ... Learning In Python (Computer Networking Easy)
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Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural ... Learning In Python (Computer Networking Easy)
Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural ... Learning In Python (Computer Networking Easy)
Data science is the need of the hour and the future of the most demanding jobs.
Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural ... Learning In Python (Computer Networking Easy)
Ürün No: 40597657

Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural

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Öne Çıkan Özellikler

Comprehensive Coverage
Offers in-depth insights on data mining and analytics, covering essential topics from linear algebra to neural networks, providing a solid foundation for beginners and advanced learners alike.
Practical Examples
Includes real-world applications and practical examples, allowing readers to apply theoretical concepts in Python, facilitating a hands-on learning experience that enhances understanding.
Targeted Learning
Designed for both novices and experienced practitioners in data science, ensuring the material addresses a wide audience, focusing on critical concepts that bridge theory and practical implementation.

Ürün Detayları

Explore the ultimate guide to data science from linear algebra and statistics to practical examples of neural learning in Python. Shop now at Ubuy Türkiye.
  • Buy the Paperback version of this book, and get the Kindle eBook version included for FREEDo you want to know all about data science? Do you really want to understand why it is the future in all the most demanding job?The truth is: Data science is the need of the hur. Over the last few years, it has changed the concept of technology. It is adding value to every model of business by using deep learning and statistics. Technological benefits of data science cannot also be ignored.The demand for data science is increasing rapidly. The basic reason behind this is the massive boom in the data generated and retained by the companies. Also known as “big data”, data scientists make the best use of this available information and figure out their best use.The team of data scientists also help in generating a good amount of analytics from the information available. This information brings clarity to people on how to interact with the web and are the foundations on which most of the critical business strategies rest. The demand for the data scientists is gradually increasing and so there must be proper learning resources for them to cultivate their knowledge.DOWNLOAD: Data Science from Scratch, Ultimate Guide to Master Data Mining and data-Analytic from Linear Algebra and Statistics to Practical Examples of Neural Networks and Machine Learning in Python.A data scientist has the following tasks to do:Analyse dataModelling/statisticsEngineering/prototypingA lot of data is available in every organization. All of them are not that easy to format. A data scientist’s job mainly revolves around formatting these data, keeping in mind some set of rules.The goal of this book is simple: The book provides a perfect insight into data science from the very scratch. It clearly explains the difference between data science and big data, explaining the concept of big data very concisely and clearly. Operations on data are also very clearly explained in this eBook.The book also stresses on Ultimate Guide to Master Data Mining and data-Analytic from Linear Algebra and Statistics to Practical Examples of Neural Networks and Machine Learning in Python.You will also learn:What is big dataDifference between Data Science and big dataOperations on data munging, cleaning, manipulating and rescaling data basic linear algebra with exercisesStatistics and basic conceptDecision tree and how to use themLanguages required for data scienceBasics of pythonNeural network and what to use for (with examples)Machine learning (with examples)Importance of data science in job and businessWho is a data scientist Data Science and its applicationsWould you like to know more?Download the eBook, Data Science from Scratch, and know about the trend that is ruling the world today.Scroll to the top of the page and select the buy now button.
Publisher Independently published
Publication date July 26, 2019
Language English
Print length 173 pages
ISBN-10 1083050729
ISBN-13 978-1083050724
Item Weight 8.5 ounces (240.98 grams)
Dimensions 6 x 0.39 x 9 inches (15.2 x 1 x 22.9 cm)

Kim Satın Almalı?

Suitable For
  • Beginners in Data Science

    Ideal for novices looking for a comprehensive guide to understand core concepts and practical applications in data science.

  • Students of Mathematics

    Students seeking to connect mathematical theories with practical data analytics through illustrative examples and Python coding.

  • Professionals Switching Careers

    Great resource for professionals looking to transition into data science roles through a structured learning approach.

Not Suitable For
  • Advanced Data Scientists

    Experienced practitioners may find the content too basic and not challenging enough for their skill level.

ÜRÜN AÇIKLAMASI

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Müşteri Soruları ve Cevapları

  • Soru: What topics does 'Data Science From Scratch' cover?

    Cevap: The book dives deep into essential topics such as data mining, data analytics, linear algebra, and statistics, culminating in practical neural network examples using Python. It's structured to enhance your understanding of data science concepts step-by-step, making complex theories accessible through practical applications. By mastering these subjects, readers can effectively analyze real-world data and implement their findings in Python, empowering both beginners and experienced practitioners in the data science field.
  • Soru: Is 'Data Science From Scratch' suitable for beginners?

    Cevap: Yes, this book is designed with beginners in mind. It introduces foundational concepts in data science progressively, ensuring that readers without prior knowledge can grasp the essential elements. The inclusion of practical examples and clear explanations enables novices to build confidence and skills needed for data analysis and machine learning projects. Ultimately, it's an excellent resource for those looking to start their journey in data science without feeling overwhelmed.
  • Soru: How does the book help with practical examples?

    Cevap: 'Data Science From Scratch' incorporates a variety of practical examples that illustrate theoretical concepts in action. By following through these examples, readers can see how to apply their learning to solve real-world problems using Python. This practical approach not only reinforces learning but also helps you develop the confidence to tackle similar projects independently. It's particularly beneficial for students or professionals seeking to enhance their portfolio with demonstrable skills.
  • Soru: What programming language is emphasized in the book?

    Cevap: The book emphasizes Python as the primary programming language for data science applications. Python is popular due to its simplicity and the vast array of libraries available for data analysis, including NumPy, pandas, and scikit-learn. The practical examples in the book utilize these libraries, demonstrating how to implement algorithms and techniques effectively. This makes it an ideal choice for readers looking to master data science programming in an industry-relevant context.
  • Soru: Can I apply concepts from the book to real-world projects?

    Cevap: Absolutely! The concepts outlined in 'Data Science From Scratch' are directly applicable to real-world projects. Readers can use the knowledge gained to analyze data sets, create predictive models, or even automate data-handling processes. Whether you're working on a business analytics project or developing AI models, the skills acquired from this book will be invaluable in translating theory into practice, providing you with the tools needed to succeed in data-related tasks.
  • Soru: Do I need prior math knowledge to understand the book?

    Cevap: While some background in mathematics will be helpful, 'Data Science From Scratch' is structured to build understanding from the ground up. The author presents essential mathematical concepts, such as linear algebra and statistics, in a way that connects them to data science applications. This scaffolding approach allows readers with minimal math experience to develop their skills gradually. Thus, you can start learning and improve your mathematical foundation along the way.
  • Soru: What are the key benefits of mastering data science?

    Cevap: Mastering data science provides numerous benefits, including enhanced career opportunities, the ability to derive insights from data, and the knowledge to develop machine learning models. As organizations increasingly rely on data-driven decisions, having the skills to analyze and interpret data will make you a valuable asset. Furthermore, you'll be equipped to tackle complex problems, optimize processes, and contribute to innovative projects, enhancing your professional growth and marketability.
  • Soru: How long does it take to read and understand the book?

    Cevap: The time required to read and understand 'Data Science From Scratch' varies per individual’s reading pace and prior knowledge. Typically, readers can expect to spend several weeks to a couple of months to thoroughly grasp the material, especially when actively working through the examples. Regular practice and revisiting difficult topics will significantly enhance understanding and retention. The key is to take your time, ensuring you grasp each concept to build a strong foundation.
  • Soru: What additional resources complement this book?

    Cevap: 'Data Science From Scratch' can be complemented with online courses, tutorials, and forums. Platforms like Coursera, edX, and Kaggle offer various data science courses that align well with the book’s content. Additionally, engaging in community forums such as Stack Overflow or Reddit can provide support and enhance learning through collaboration. These supplementary resources can deepen your understanding and application of the concepts covered in the book.
  • Soru: Where can I buy 'Data Science From Scratch'?

    Cevap: You can purchase 'Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic' on Ubuy. Ubuy is an online shopping platform that offers a broad range of products, including books on data science and programming. By choosing Ubuy, you can explore various options for acquiring this title while enjoying a user-friendly shopping experience. Simply navigate to Ubuy’s website, search for the book, and follow the purchasing process to get your copy.

Data Modeling & Design Editorial Review

Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural Learning In Python is an enlightening resource for aspiring data scientists. Published on July 26, 2019, this book spans 173 pages and covers essential topics from linear algebra to practical neural network examples in Python. Readers have noted its clear explanations and practical approach, making complex concepts more relatable for beginners. The engaging writing style allows for easy understanding, which is highly appreciated by most reviewers, ensuring this guide serves as a strong foundation for data analytic skills.

Müşteri Yorumları ve Puanları

10 müşteri puanları
  • 5 Star
    29%
  • 4 Star
    19%
  • 3 Star
    10%
  • 2 Star
    14%
  • 1 Star
    28%

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Artıları

  • Clear explanations of complex concepts
  • Engaging writing style for beginners
  • Practical examples in Python
  • Comprehensive coverage of data mining
  • Effective introduction to linear algebra

Eksileri

  • Some readers may seek more advanced content

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Özellikler ve Faydalar

  • Comprehensive guide to mastering data science from scratch.
  • Learn essential concepts of data mining and data analytics.
  • Covers statistics, linear algebra, and practical examples in Python.
  • Includes Kindle eBook free with the paperback version.
  • Addresses the growing demand for data scientists and their job roles.
  • Offers insights into big data and its applications in business.

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