What is the primary focus of 'Just Enough Data Science and Machine Learning'?

The book offers a practical introduction to data science and machine learning, focusing on essential tools and techniques. It aims to equip readers with the foundational knowledge necessary to tackle real-world data problems. Through concise and straightforward explanations, it provides insights into how these methods can assist in decision-making processes across various industries, making it ideal for beginners or professionals looking to refresh their skills.

Is this book suitable for beginners in data science?

'Just Enough Data Science and Machine Learning' is crafted specifically for readers new to the field. It does not assume prior knowledge, making it an excellent starting point for those interested in the basics of data analysis and machine learning. The author breaks down complex concepts into understandable sections, often highlighting practical examples to facilitate learning, thus allowing newcomers to build a solid foundation in these critical areas.

What topics are covered in this book?

The book spans essential data science and machine learning topics, including data collection, cleaning, analysis, and visualization techniques, along with common machine learning algorithms. It discusses practical applications and ethical considerations in data use. This comprehensive coverage ensures that readers obtain a holistic view of data science, making them aware of the multifaceted nature of the field.

Who would benefit from reading this book?

This book is ideal for a range of readers, including aspiring data scientists, business analysts, and decision-makers. Whether you're a student exploring a career in data science or a professional looking to incorporate data-driven strategies into your work, the insights provide valuable knowledge that enhances your expertise. The content caters to both technical and non-technical audiences, ensuring that everyone can grasp important concepts.

Are there practical examples in the book?

Yes, the book includes numerous practical examples and case studies that illustrate how data science and machine learning can be applied in real scenarios. These examples help readers understand theoretical concepts in a practical context, making it easier to relate the material to actual challenges faced in industries such as finance, healthcare, and technology. Such application-focused content enhances comprehension and retention.

What skills can I expect to gain from this book?

Readers can expect to gain a variety of skills, including data manipulation, basic machine learning model implementation, and effective data visualization techniques. Additionally, the book teaches critical thinking about data interpretation and ethical considerations, equipping readers to make informed decisions based on data-driven insights. These skills are vital for anyone looking to harness the power of data in any capacity.

Is this book useful for career advancement?

Absolutely! 'Just Enough Data Science and Machine Learning' serves as a stepping stone for career advancement in various data-related roles. By mastering the core principles and techniques outlined in the book, readers can enhance their skill set, making them more competitive in the job market. Understanding data science basics can also assist in interdisciplinary roles where collaboration with data professionals is required.

What format is the book available in?

The book is available in multiple formats, including hardcover, paperback, and eBook. This variety allows readers to choose their preferred format based on convenience and reading habits. The eBook version, in particular, can be easily accessed on multiple devices, making it a flexible option for those who prefer digital reading or wish to carry the content on-the-go.

Does the book cover ethical considerations in data science?

Yes, the book includes a section dedicated to discussing ethical considerations in data science and machine learning. It emphasizes the importance of responsible data practices, highlighting issues like data privacy and algorithmic bias. Such discussions encourage readers to think critically about the implications of their work in data science, fostering a more conscientious approach to using data in real-life applications.

Where can I buy 'Just Enough Data Science and Machine Learning' in Guinea-Bissau?

You can purchase 'Just Enough Data Science and Machine Learning: Essential Tools and Techniques' on Ubuy, which is a trusted platform known for its wide selection of books. Ubuy offers a seamless shopping experience, allowing you to easily find this essential reading material along with various other products tailored to your needs. With user-friendly navigation, Ubuy ensures that acquiring this valuable resource is a straightforward process.

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Just Enough Data Science and Machine Learning: Essential Tools and Techniques (Addison-Wesley Data & Analytics Series)

An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science.

Artigo n.º: 102057980

Just Enough Data Science and Machine Learning: Essential Tools and Techniques (Addison-Wesley Data & Analytics Series)

78% of respondents would recommend this to a friend

Artigo n.º: 102057980

XOF 34029

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Comprehensive Overview

Offers a well-rounded introduction to data science and machine learning, catering to beginners and experienced practitioners alike, ensuring accessible learning paths for all.

Practical Tools

Focuses on essential tools and methodologies, equipping readers with hands-on skills to effectively analyze data and implement machine learning techniques in real-world scenarios.

Step-by-Step Guidance

Provides clear, structured approaches to complex concepts, allowing readers to build their knowledge progressively while developing confidence in applying data science strategies.

Detalhes do produto

An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science.In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject.The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science.The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless.Notable features of this book:Clear explanations of fundamental statistical notions and conceptsCoverage of various types of data and techniques for analysisIn-depth exploration of popular machine learning tools and methodsInsight into specific data science topics, such as social networks and sentiment analysisPractical examples and case studies for real-world applicationRecommended further reading for deeper exploration of specific topics.

Publisher	Addison-Wesley Professional
Publication date	November 15, 2024
Edition	1st
Language	English
Print length	224 pages
ISBN-10	0138340749
ISBN-13	978-0138340742
Item Weight	13.2 ounces (374.22 grams)
Dimensions	7 x 0.45 x 9.13 inches (17.8 x 1.1 x 23.2 cm)

Quem Deverá Comprar?

Data Science Beginners
Ideal for those new to data science and machine learning seeking foundational knowledge and practical applications.
Business Analysts
Great for professionals looking to leverage data insights without diving deeply into complex algorithms and theories.
Decision Makers
Useful for executives and managers who need to understand data-driven decision-making processes and tools available.

Advanced Practitioners
Not suitable for experienced data scientists seeking in-depth theories or advanced techniques beyond introductory content.

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Comprehensive and accessible introduction to data science.
Develop intuition behind methods used in data science and machine learning.
Focus on algorithmic aspects and essential statistical concepts.
Includes exploratory data analysis and visualisation tools.
Packed with practical examples and real-world datasets.
Supports learning with Python code for timeless application.

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Just Enough Data Science and Machine Learning: Essential Tools and Techniques (Addison-Wesley Data & Analytics Series)

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