Real-World Machine Learning Paperback – Illustrated, 6 Oct. 2016
Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution.
Real-World Machine Learning Paperback – Illustrated, 6 Oct. 2016
منتج #: 195274761

Real-World Machine Learning Paperback – Illustrated, 6 Oct. 2016

منتج #: 195274761

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Practical Insights
Offers real-world applications and practical knowledge, allowing readers to implement machine learning techniques effectively in various scenarios.
Illustrated Content
Features clear illustrations that simplify complex concepts, making it accessible for learners at different levels of expertise.
Updated Techniques
Covers the latest advancements in machine learning, ensuring readers stay current with the evolving landscape of technology and methodologies.

تفاصيل المنتج

Shop Real-World Machine Learning Paperback – Illustrated, 6 Oct. 2016 online at a best price in عمان. 1617291927
  • Practical guide for working developers to execute ML projects without overwhelming academic theory and complex mathematics
  • Introduces day-to-day practice of machine learning to successfully build and deploy powerful ML systems
  • Purchase includes free eBook in PDF, Kindle, and ePub formats from Manning Publications
  • Teaches concepts and techniques needed without overdosing on abstract theory and complex mathematics
  • Covers immediately relevant examples in Python, including data acquisition, modeling, classification, and regression
  • Helps readers develop skills in model validation, optimization, scalability, and real-time streaming
Publisher Manning Publications
Publication date 6 Oct. 2016
Edition 1st
Language English
Print length 264 pages
ISBN-10 9781617291920
ISBN-13 978-1617291920
Item weight 454 g
Dimensions 18.75 x 1.27 x 23.5 cm

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Suitable For
  • Data Science Students

    Ideal for students pursuing data science who need practical insights and real-world applications of machine learning techniques.

  • Industry Professionals

    Beneficial for professionals seeking to enhance their knowledge of machine learning applications in various industries.

  • Self-Learners

    Great for self-taught individuals looking for clear, actionable guidance on machine learning principles and practices.

Not Suitable For
  • Beginner Programmers

    Not suitable for those with no coding or statistical background as it requires a foundational understanding of programming.

وصف المنتج

Real-World Machine Learning Paperback – Illustrated, 6 Oct. 2016

About This Item

Introducing the Real-World Machine Learning First Edition Book Are you ready to take your machine learning skills to the next level and apply them to real-world applications? Look no further than the Real-World Machine Learning First Edition book. Whether you're a beginner or an experienced practitioner, this book will provide you with the knowledge and techniques needed to implement machine learning in practical scenarios. Inside this book, you'll find a comprehensive guide filled with real-life examples and case studies showcasing the power of machine learning in various industries. From finance to healthcare, marketing to transportation, this book covers it all. Learn how to analyze real-world data sets and uncover valuable insights using machine learning algorithms.

Discover best practices for implementing machine learning models and techniques for overcoming common challenges. Gain a deep understanding of the latest advancements and strategies in the field of machine learning. With the Real-World Machine Learning First Edition book, you'll have everything you need to excel in the world of machine learning. Whether you're a student, a data scientist, or a business professional, this book is a must-have resource for anyone looking to harness the power of machine learning in their daily work. Don't miss out on this opportunity to expand your machine learning skills and stay ahead of the competition.

Order your copy of the Real-World Machine Learning First Edition book today and unlock the potential of machine learning in the real world.

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Product Buying Guide

Real-World Machine Learning First Edition is a practical guide designed for working developers interested in mastering the art of ML project execution without delving into academic theory and complex mathematics. It introduces the day-to-day practice of machine learning, preparing readers to successfully build and deploy powerful ML systems. The book is suitable for readers who have no prior machine learning experience but are familiar with Python.

Product Specifications

  • Title: Real-World Machine Learning First Edition
  • Authors: Henrik Brink, Joseph Richards, Mark Fetherolf
  • Format: Printed book with free eBook in PDF, Kindle, and ePub formats from Manning Publications
  • Language: English
  • Pages: Not specified

Key Features

  • Teaches practical concepts and techniques of machine learning
  • Includes immediately relevant examples in Python for hands-on learning
  • Covers data acquisition, modeling, classification, regression, model validation, optimization, and scalability
  • Suitable for readers with no prior machine learning experience but familiarity with Python

Usage Scenarios

  • Predicting future behavior
  • Performance evaluation and optimization
  • Analyzing sentiment and making recommendations
  • Building, deploying, and maintaining powerful ML systems

Usage Scenarios

Competitors can include books or online courses focused on practical machine learning skills development, such as 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems' by Aurélien Géron or 'Python Machine Learning' by Sebastian Raschka.

Some User Review

  • Readers praise the practical approach to machine learning concepts
  • The use of Python examples makes it easier to understand and implement the concepts taught
  • Appreciation for focusing on real-world applications and not overwhelming readers with complex mathematics

Competitors

  • The price range for similar books and online courses on practical machine learning skills development can vary. It is advisable to compare prices from different vendors and consider bundled offers that include additional resources or formats.
  • Consider the different available formats (e.g., printed book, eBook) and their respective prices to determine the most cost-effective option based on individual preferences.

Buying Considerations

  • Consider assessing personal learning style and the preferred format for learning materials (printed book, eBook) to ensure an optimal learning experience
  • Check for any bundled offers or additional resources included with the purchase, such as companion code repositories, online forums, or supplementary materials, which can add value to the learning process

Conclusion

Real-World Machine Learning First Edition is a valuable resource for working developers aiming to master the practical execution of machine learning projects. With a focus on real-world applications and hands-on examples in Python, it equips readers with essential skills to build, deploy, and maintain powerful ML systems.

عرض أقل

Real-World Machine Learning First Edition is a practical guide designed for working developers interested in mastering the art of ML project execution without delving into academic theory and complex mathematics. It introduces the day-to-day practice of machine learning, preparing readers to successfully build and deploy powerful ML systems. The book is suitable for readers who have no prior machine learning experience but are familiar with Python. Continue Reading

أسئلة العملاء & الإجابات

  • سؤال: كيف تتسوق Real-World Machine Learning Paperback – I عبر الانترنت من يوباى?

    إجابه: من السهل التسوق في Real-World Machine Learning Paperback – I عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك
  • سؤال: هل Real-World Machine Learning Paperback – I متوفر للتسوق عبر الإنترنت في Oman؟

    إجابه: نعم ، في يوباي Oman هذا المنتج متاح لك للتسوق بسعر مناسب. Real-World Machine Learning Paperback – I غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع.
  • سؤال: كم من الوقت يستغرق الحصول على المنتج بعد تقديم الطلب؟

    إجابه: يختلف وقت تسليم المنتج الذي طلبته حسب ما طلبته وطريقة الشحن التي اخترتها. يتم ذكر وقت التسليم المقدر أثناء عملية الدفع ، لذا كن مرتاحًا أثناء التسوق.

Data Mining Editorial Review

** Real-World Machine Learning** "Real-World Machine Learning" has garnered a positive reception from readers who appreciate its practical approach to the subject. The book is celebrated for its clarity and accessibility, making complex concepts in machine learning understandable for a broad audience, including beginners and those with some prior knowledge. Customers highlight the well-structured content that provides a strong foundation in both theoretical and practical aspects of machine learning. Several readers commend the author's engaging writing style, which is noted for being both informative and easy to follow. The inclusion of real-world examples and case studies facilitates a deeper understanding of how machine learning can be applied in everyday scenarios. Readers also appreciate the comprehensive coverage of various algorithms and techniques, which are discussed in a context that emphasizes their practical implications. Furthermore, the book is often praised for its balance between theory and application, making it a valuable resource not only for individuals seeking to learn machine learning but also for professionals looking to implement these techniques in real-world projects. Some customers have also drawn attention to the helpful exercises at the end of each chapter, which reinforce learning and allow readers to test their knowledge practically. Overall, "Real-World Machine Learning" is positioned as a highly recommended resource for those looking to enhance their understanding of machine learning and its applications, appealing to both novices and more experienced readers. **

مراجعات العملاء وتقييماتهم

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إيجابيات

  • Clear and accessible writing style
  • Well-structured content with practical applications
  • Engaging real-world examples and case studies
  • Comprehensive coverage of algorithms and techniques
  • Helpful exercises for reinforcing learning

سلبيات

  • May require some prior knowledge for complete comprehension

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