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  1. Bog
  2. Kunstig intelligens
  3. Machine learning
Real-World Machine Learning
Af: Joesph Richards, Mark Fetherolf, Henrick Brink
Engelsk
Bogcover for Real-World Machine Learning af Joesph Richards, Mark Fetherolf, Henrick Brink, 9781617291920
Specifikationer
Sprog:
Engelsk
Sider:
264
ISBN-13:
9781617291920
Indbinding:
Paperback
Udgave:
ISBN-10:
1617291927
Kategori:
Machine learning
Udg. Dato:
6 okt 2016
Længde:
15mm
Bredde:
233mm
Højde:
187mm
Forlag:
Manning Publications
Oplagsdato:
6 okt 2016
Genre:

Real-World Machine Learning

Af: Joesph Richards, Mark Fetherolf, Henrick Brink
Engelsk
Paperback
Format:
Paperback
Om denne bog
DESCRIPTION

In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the data workflow. Machine learning systems can quickly crunch massive amounts of information to offer insights and make decisions in a way that matches or even surpasses human cognitive abilities. These systems use sophisticated computational and statistical tools to build models that can recognize and visualize patterns, predict outcomes, forecast values, and make recommendations.

 

Real-World Machine Learning is a practical guide designed to teach developers the art of ML project execution. The book introduces the day-to-day practice of machine learning and prepares readers to successfully build and deploy powerful ML systems. Using the Python language and the R statistical package, it starts with core concepts like data acquisition and modeling, classification, and regression. Then it moves through the most important ML tasks, like model validation, optimization and feature engineering. It uses real-world examples that help readers anticipate and overcome common pitfalls. Along the way, they will discover scalable and online algorithms for large and streaming data sets. Advanced readers will appreciate the in-depth discussion of enhanced ML systems through advanced data exploration and pre-processing methods.

 
KEY FEATURES
  • Accessible and  practical introduction to machine learning
  • Contains big-picture ideas and real-world examples
  • Prepares reader to build and deploy powerful predictive systems
  • Offers tips & tricks and highlights common pitfalls
AUDIENCE

Code examples are in Python and R. No prior machine learning experience required.

 

ABOUT THE TECHNOLOGY

Machine learning has gained prominence due to the overwhelming successes of Google, Microsoft, Amazon, LinkedIn, Facebook, and others in their use of ML. The Gartner report predicts that big data analytics will be a $25 billion market by 2017, and financial firms, marketing organizations, scientific facilities, and Silicon Valley startups are all demanding machine learning skills from their developers.

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461,97 kr
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413 kr
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Sikker betaling
23 - 25 hverdage
Specifikationer
Sprog:
Engelsk
Sider:
264
ISBN-13:
9781617291920
Indbinding:
Paperback
Udgave:
ISBN-10:
1617291927
Kategori:
Machine learning
Udg. Dato:
6 okt 2016
Længde:
15mm
Bredde:
233mm
Højde:
187mm
Forlag:
Manning Publications
Oplagsdato:
6 okt 2016
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