Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models (Paperback)
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Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models (Paperback)
Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms.
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models (Paperback)
vare #: 185384622

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models (Paperback)

vare #: 185384622

NOK 556

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Det som utmerker seg

Expert Techniques
Offers advanced strategies for implementing and fine-tuning algorithms, ensuring users can elevate their machine learning models to meet specific project requirements and industry standards.
Comprehensive Guidance
Covers a broad range of popular algorithms with step-by-step instructions, making complex concepts accessible for learners at all levels and enhancing their data science skillset.
Practical Applications
Includes real-world examples and case studies, demonstrating how to apply machine learning algorithms effectively, thus bridging the gap between theory and practice for better understanding.

Produkt detaljer

Shop Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models (Paperback) online at a best price in NORGE. 154418313
  • Publisher's Note: This edition from 2018 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 with coverage of neural network implementation, reinforcement learning, and more using Python 3.8 and TensorFlow 2.x, has now been published. Key Features Discover high-performing machine learning algorithms and understand how they work in depth One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn v0.19.1. You will also learn how to use Keras and TensorFlow 1.x to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
Manual & guide typeInstruction Manual
Book formatPaperback
Skill levelExpert
Pages576
LanguageEnglish
BrandGiuseppe Bonaccorso
AuthorGiuseppe Bonaccorso
PublisherPackt Publishing
ManufacturerPackt Publishing
GenreEducation
Bisac subject headingComputers
Height9.25 in (23.5 cm)
Original languagesEnglish
Item Weight1 lbs (450 grams)

Hvem passer produktet for?

Suitable For
  • Aspiring Data Scientists

    This book is ideal for beginners aiming to understand and implement machine learning algorithms effectively.

  • Intermediate Practitioners

    Experienced users looking to deepen their knowledge and fine-tune their machine learning models will find valuable insights.

  • Academic Professionals

    Researchers and educators can utilize this book to support their curriculum and enhance teaching methods in machine learning.

Not Suitable For
  • Absolute Beginners

    Those with no prior knowledge of programming or statistics may find the material too advanced and challenging to grasp.

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Giuseppe Bonaccorso Data Modeling & Design Books Editorial Review

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models (Paperback) serves as an invaluable guide for seasoned practitioners in the field. Authored by Giuseppe Bonaccorso, this comprehensive manual spans 576 pages and is specifically designed for those with an expert skill level. It covers a range of essential machine learning algorithms and delves into detailed techniques for model fine-tuning. Readers will appreciate the structured layout and in-depth explanations, making complex concepts more accessible. The book’s focus on practical implementation ensures that it can be applied effectively in real-world scenarios, a common highlight in user reviews.

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Fordeler

  • Comprehensive coverage of popular machine learning algorithms
  • In-depth techniques for model fine-tuning
  • Well-structured layout boosts learning efficiency
  • Designed for advanced practitioners in the field
  • Accessible explanations of complex concepts

Ulemper

  • May be too advanced for beginners in machine learning.

Produktets prishistorikk

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NOK 556

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Funksjoner og fordeler

  • Comprehensive guide to mastering machine learning algorithms.
  • Covers popular techniques for supervised, unsupervised, and semi-supervised learning.
  • Learn to optimize and evaluate your models effectively.
  • Includes implementation using Python libraries like scikit-learn and TensorFlow.
  • Ideal for data science professionals looking to enhance their skills.
  • Updated edition with the latest advancements and techniques in machine learning.

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