Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition
Giuseppe Bonaccorso is a highly accomplished data scientist with a strong background in machine learning and big data.
Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition
منتج #: 20047112

Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and

منتج #: 20047112

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Giuseppe Bonaccorso is a highly accomplished data scientist with a strong background in machine learning and big data.
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Comprehensive Techniques
This book covers a wide range of machine learning algorithms, providing expert techniques for implementing and fine-tuning models, making it an indispensable guide for both beginners and experienced practitioners.
In-depth Understanding
It emphasizes not just implementation but also understanding the inner workings of algorithms, ensuring readers can rigorously analyze and adapt models for their specific use cases.
Updated Edition
The 2nd edition includes the latest advancements in machine learning, ensuring that you are equipped with current strategies and methodologies essential for staying competitive in the rapidly evolving tech landscape.

تفاصيل المنتج

Upgrade your ML skills with this expert guide. Learn how to fine-tune models, implement algorithms, and understand their workings. From head of data science, Giuseppe Bonaccorso. Shop at Ubuy عمان
Publisher Packt Publishing
Publication date January 31, 2020
Edition 2nd ed.
Language English
Print length 798 pages
ISBN-10 1838820299
ISBN-13 978-1838820299
Item Weight 3.15 pounds (1.43 kg)
Dimensions 7.5 x 1.8 x 9.25 inches (19.1 x 4.6 x 23.5 cm)

من يجب أن يشتري؟

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners seeking a comprehensive understanding of machine learning techniques and practical implementation strategies.

  • Experienced Practitioners

    Provides advanced insights and fine-tuning techniques appealing to those already familiar with basic algorithms.

  • Academic Researchers

    Useful for researchers who need a solid reference to machine learning algorithms and their underlying principles.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals with no background in programming or basic statistics, as it assumes prior knowledge.

وصف المنتج

Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition

About This Item

Are you looking to expand your knowledge and skills in the field of machine learning? Look no further than "Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition." Written by Giuseppe Bonaccorso, a highly experienced Head of Data Science in a large multinational company, this book provides an in-depth understanding of advanced machine learning algorithms. Whether you are a beginner or an experienced practitioner, this comprehensive guide will enhance your understanding and mastery of machine learning. In this 2nd edition, Bonaccorso dives deep into popular machine learning algorithms and provides expert techniques for implementing them effectively. From regression and classification to clustering and anomaly detection, this book covers it all.

You will learn to predict, classify, and cluster data accurately using Python, one of the most popular programming languages for machine learning. What sets this book apart is the author's emphasis on understanding how these algorithms work. You will not only learn how to apply them but also gain insights into their inner workings. This knowledge will enable you to fine-tune your models and optimize their performance for different use cases. With "Mastering Machine Learning Algorithms," you will embark on a learning journey that covers a wide range of topics, including natural language processing, recommendation systems, time series analysis, image recognition, sentiment analysis, fraud detection, and healthcare analytics.

Each topic is explained in a clear and concise manner, making it accessible to both beginners and experts alike. Giuseppe Bonaccorso's expertise in machine learning shines through in this book, which is a result of his extensive research and practical experience. His previous publications, including "Machine Learning Algorithms" and "Hands-On Unsupervised Learning with Python," have received praise from both academia and industry professionals. If you are serious about mastering machine learning and want to stay ahead in this rapidly evolving field, "Mastering Machine Learning Algorithms" is a must-have resource. Start your journey towards becoming a machine learning expert today!.

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Product Buying Guide

Mastering Machine Learning Algorithms, 2nd Edition is a comprehensive guide for data science professionals to delve into complex ML algorithms and understand how various machine learning models can be built. This updated edition features new algorithms, techniques, and code updated to Python 3.8 & TensorFlow 2.x, making it an essential resource for meeting today's overwhelming data needs.

Product Specifications

  • Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning models, and understanding how they work, 2nd Edition
  • 2nd Edition
  • Python 3.8
  • NumPy and Keras
  • 2.x

Key Features

  • Includes new algorithms and techniques for addressing complex machine learning problems.
  • Code updated to Python 3.8 & TensorFlow 2.x to leverage the latest advancements in the Python ecosystem.
  • New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applications for a comprehensive learning experience.

Usage Scenarios

  • Ideal for professionals aiming to implement smarter ways of meeting data needs and understanding machine learning models.build.
  • Those who want to explore machine learning algorithms using Python 3.8 and TensorFlow 2.x.
  • Suitable for individuals looking to solve end-to-end machine learning problems and use case scenarios.

Usage Scenarios

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition
  • Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

Some User Review

  • In-depth and comprehensive coverage of machine learning algorithms.
  • Updated Python code and new algorithms provide valuable insights for solving complex problems.
  • Useful for both beginners and experienced data science professionals.

Competitors

  • Mid to High range
  • Offers great value with its extensive coverage of algorithms and techniques for machine learning.

Buying Considerations

  • Requires proficiency in Python programming language to leverage the updated code and libraries, such as NumPy and Keras.
  • Beneficial for individuals with a foundational understanding of data science and machine learning concepts.

Conclusion

Mastering Machine Learning Algorithms, 2nd Edition is a valuable asset for data science professionals and Python enthusiasts seeking in-depth knowledge of machine learning algorithms. With updated content, expanded coverage, and practical applications, this guide provides essential insights for implementing and solving complex machine learning problems.

عرض أقل

Mastering Machine Learning Algorithms, 2nd Edition is a comprehensive guide for data science professionals to delve into complex ML algorithms and understand how various machine learning models can be built. This updated edition features new algorithms, techniques, and code updated to Python 3.8 & TensorFlow 2.x, making it an essential resource for meeting today's overwhelming data needs. Continue Reading

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  • سؤال: كيف تتسوق Mastering Machine Learning Algorithms: Expert عبر الانترنت من يوباى?

    إجابه: من السهل التسوق في Mastering Machine Learning Algorithms: Expert 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 Mastering Machine Learning Algorithms: Expert متوفر للتسوق عبر الإنترنت في Oman؟

    إجابه: نعم ، في يوباي Oman هذا المنتج متاح لك للتسوق بسعر مناسب. Mastering Machine Learning Algorithms: Expert 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.

Machine Theory Editorial Review

The "Mastering Machine Learning Algorithms" book is a solid resource for learning and understanding popular machine learning algorithms. The book complements other manuals, such as "Python Machine Learning." However, the mathematical notation is not always precise, creating confusion and errors for readers. The coding in the book is not always clean, and there are many code duplications, making the book challenging to read. Additionally, there are some errors fundamental to the material, meaning readers might need to spend valuable time proofreading instead of learning new material. The book is not for beginners, and readers must already have sufficient knowledge in machine learning. The book provides a thorough explanation of the mathematical nature of data and algorithms, making it a good choice for experts looking to deepen their knowledge.

مراجعات العملاء وتقييماتهم

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إيجابيات

  • Solid resource for learning popular machine learning algorithms.
  • Complements other manuals, such as "Python Machine Learning."
  • Provides thorough explanations of the mathematical nature of data and algorithms.
  • Covers a wide variety of topics, such as Hebbian Learning, Graphical Models, and Bayesian Networks.

سلبيات

  • Mathematical notation is not always precise, creating confusion and errors.

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