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Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Learn Machine Learning for Beginners)
Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.
Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Learn Machine Learning for Beginners)
Item #: 38981168

Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Learn Machine Learning for Beginners)

Item #: 38981168

COP 99141

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Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.
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What Stands Out

Beginner-Friendly Approach
This book simplifies complex machine learning concepts into plain English, making it accessible for those with no technical background. Ideal for absolute beginners looking to grasp the fundamentals effortlessly.
Practical Python Examples
With hands-on Python coding examples, readers can directly apply what they learn. This practical approach bridges theory with real-world application, enhancing the learning experience for new programmers.
Updated Content
The third edition includes the latest advancements in machine learning, ensuring readers are equipped with current knowledge and effective practices, making it relevant for today's rapidly evolving tech landscape.

Product Details

Discover the easiest way to learn machine learning with this plain English introduction. Get the Third Edition of the Machine Learning with Python for Beginners Book Series. Shop now on Ubuy Colombia.
  • Featured by Tableau as the first of 7 Books About Machine Learning for Beginners
  • Provides a high-level introduction to machine learning with clear explanations and no coding experience required
  • New third edition features extended chapters, quizzes, free online video tutorials, and downloadable resources
  • Covers data scrubbing techniques, regression analysis, k-Means Clustering, Neural Networks, Bias/Variance, Decision Trees, and building machine learning models using Python
  • Designed for absolute beginners with no programming experience required, but includes Python tutorials for machine learning models
  • Includes plain English explanations, video content, chapter quizzes, and code exercises for practical learning
Publisher Independently published
Publication date January 1, 2021
Language English
Print length 172 pages
ISBN-13 979-8558098426
Item Weight 7.7 ounces (218.3 grams)
Dimensions 6 x 0.41 x 9 inches (15.2 x 1 x 22.9 cm)
Book 1 of 3 Learn Machine Learning for Beginners

Who Should Buy?

Suitable For
  • Complete Beginners

    Ideal for individuals with no prior knowledge of machine learning or programming, providing foundational concepts and terminology.

  • Self-Learners

    Great resource for motivated learners who prefer exploring topics at their own pace without needing advanced prerequisites.

  • Educators and Trainers

    Useful for teachers needing straightforward material to introduce machine learning concepts to students, regardless of their educational background.

Not Suitable For
  • Advanced Users

    Not suitable for individuals with a solid background in machine learning looking for in-depth analysis or advanced methodologies.

Product Description

Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Learn Machine Learning for Beginners)

About This Item

Introducing "Machine Learning for Absolute Beginners: A Plain English Introduction" - the must-have book for anyone looking to dive into the world of machine learning and understand its fundamentals. Whether you're an absolute beginner or a Python enthusiast, this third edition of the "Machine Learning with Python for Beginners" book series is designed to demystify complex concepts and provide a comprehensive introduction to the field. This paperback book, released on January 1, 2021, caters to both beginners in the e-commerce industry and those with a basic understanding of Python. It's the perfect guidebook for those who want to harness the power of machine learning in their e-commerce endeavors. If you're new to e-commerce, this book series will serve as your ultimate companion.

It covers everything you need to know about the basics of e-commerce from scratch. From understanding the principles of online selling to setting up your own e-commerce website, this book provides valuable insights and step-by-step guidance. For Python beginners, this book series serves as an introduction to using Python for e-commerce purposes. You'll learn how to leverage Python's powerful libraries and tools to build robust and scalable e-commerce applications.

With clear explanations and practical examples, you'll gain the skills needed to create a successful online business. This "Machine Learning for Absolute Beginners" book series is not just another tutorial or course. It's a comprehensive resource that offers a holistic approach to e-commerce for beginners. The easy-to-follow explanations, hands-on exercises, and real-life use cases make learning enjoyable and effective. Whether you prefer reading a physical book, watching video tutorials, or exploring online resources, this book series caters to your preferred learning style.

It's packed with valuable tips, techniques, and strategies to help you succeed in the e-commerce industry. Don't miss out on the opportunity to acquire the knowledge and skills necessary for e-commerce success. Grab your copy of "Machine Learning for Absolute Beginners: A Plain English Introduction" now and embark on your journey to becoming an e-commerce expert.

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Intelligence & Semantics Editorial Review

If you're an absolute beginner to Machine Learning, then "Machine Learning for Absolute Beginners" is an excellent choice in terms of introduction. The book provides a concise and plain language explanation of the principles and concepts which underpin machine learning, providing clear workable examples of how to apply these to real-life problems. While the book is low on technical detail, it still manages to be conceptually informative through its clear explanation of key concepts in a way that is easy to understand. The final chapter of the book provides a practical exercise that Consolidates what has been covered in the preceding sections, helping you to apply the concepts discussed in real-world scenarios using Python.

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Pros

  • Provides a clear and concise introduction to machine learning for beginners.
  • Helps in understanding key concepts through simple explanations.
  • Provides a practical exercise at the end of the book, which helps Consolidate the information presented.

Cons

  • The book is low on technical detail.

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