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Introducing Machine Learning (Developer Reference)
Introducing Machine Learning (Developer Reference)
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Introducing Machine Learning (Developer Reference)
Introducing Machine Learning (Developer Reference)
Introducing Machine Learning delivers practical knowledge to make the most of immense opportunities.
Introducing Machine Learning (Developer Reference)
artikal br.: 248666809

Introducing Machine Learning (Developer Reference)

85% of respondents would recommend this to a friend

artikal br.: 248666809

RSD 7241

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What Stands Out

Comprehensive Resources
Offers a thorough collection of machine learning algorithms, frameworks, and techniques, catering to both beginners and experts seeking in-depth understanding and practical applications in various scenarios.
User-Friendly Design
Features a clean, intuitive interface that enhances navigation, allowing developers to quickly access crucial information and tools, thus minimizing downtime and maximizing productivity.
Community Support
Provides access to a vibrant community of developers for discussions and shared experiences, fostering collaboration and real-world problem-solving that improves the learning experience.

Детаљи о производу

Shop Introducing Machine Learning (Developer Reference) online at a best price in Serbia. 0135565669
  • Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning.· 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you· Explore what’s known about how humans learn and how intelligent software is built· Discover which problems machine learning can address· Understand the machine learning pipeline: the steps leading to a deliverable model· Use AutoML to automatically select the best pipeline for any problem and dataset· Master ML.NET, implement its pipeline, and apply its tasks and algorithms· Explore the mathematical foundations of machine learning· Make predictions, improve decision-making, and apply probabilistic methods· Group data via classification and clustering· Learn the fundamentals of deep learning, including neural network design· Leverage AI cloud services to build better real-world solutions fasterAbout This Book· For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills· Includes examples of machine learning coding scenarios built using the ML.NET library
Publisher Microsoft Press
Publication date 20 Feb. 2020
Edition 1st
Language English
Print length 400 pages
ISBN-10 0135565669
ISBN-13 978-0135565667
Item weight 1.05 kg
Dimensions 18.75 x 2.31 x 23.19 cm
Part of series Developer Reference

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners seeking foundational knowledge and practical applications in machine learning development.

  • Professionals Transitioning

    Great for developers aiming to transition into machine learning roles, providing essential skills and references.

  • Academic Researchers

    Useful for researchers needing a comprehensive resource for machine learning concepts and algorithm implementations.

Not Suitable For
  • Non-Technical Users

    Not suitable for users without programming knowledge, as it requires technical understanding of machine learning.

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Data Mining Editorial Review

Introducing Machine Learning Developer Reference is a comprehensive guide published by Microsoft Press on February 20, 2020. Spanning 400 pages, this first edition resource is crafted in English and is designed for developers aiming to master machine learning concepts and practices. Readers appreciate the well-structured format that simplifies complex topics, making it accessible for newcomers to the field. It covers essential principles and applications, making it a valuable addition to any developer's library. The book's detailed explanations about machine learning algorithms and their practical implementations have received positive feedback from users seeking to enhance their technical skills.

Customer Reviews & Ratings

4.2
27 recenzije kupaca
  • 5 zvezda
    63%
  • 4 zvezda
    15%
  • 3 zvezda
    12%
  • 2 zvezda
    5%
  • 1 zvezda
    5%

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Podelite svoja razmišljanja sa drugim kupcima

Прос

  • Comprehensive guide for machine learning principles
  • Well-structured and easy to follow
  • Covers practical implementations of algorithms
  • Suitable for both beginners and experienced developers
  • Published by a reputable source, Microsoft Press

Цонс

  • A bit heavy for prolonged reading sessions

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RSD 7241

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Карактеристике и предности

  • Learn core machine learning concepts to solve real-world problems.
  • Understand the ML.NET library for data processing and evaluation.
  • Explore deep learning techniques including neural networks.
  • Master a complete machine learning pipeline from problem identification to model delivery.
  • Utilize AutoML to optimize the pipeline for various datasets.
  • Gain insights into AI cloud services for efficient solution development.

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