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Machine Learning

Insights from the frontier of data science and artificial intelligence

Highlights

© Springer

© Springer

© Springer

© Springer

© Springer

© Springer

© Springer

© Springer

Machine Learning

Explore data intelligently with the latest in AI and data science techniques. Build classifiers, test kernel methods, and try out biologically-inspired techniques from genetic algorithms to neural networks and deep learning. Our books cover machine learning applications of R, Python, MATLAB, and more.

Machine learning brings new insights every day across a broad range of industries and research worldwide. Be part of it and explore the best of what happens when human and machine intelligence are combined.

Our Key Topics

  • Artificial intelligence
  • Deep learning
  • Natural language processing

Meet the Editor

  • Celestin Suresh John

    Celestin Suresh John

    Manager Apress India - Senior Editor
    Machine Learning, Big Data, Cloud Computing, Networking

    Tel.: +91 9168 92 7888
    celestinjohn@apress.com

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Featured Author

  • Dr. Armando Vieira is a Data Scientist and Artificial Intelligence consultant with an entrepreneurial mindset. He is passionate about how to make Machine Learning projects work for organizations and how to build great AI based products. As algorithms are becoming a commodity, the challenge is not building them but using them to solve real problems. He has also coordinated several projects on Credit Risk Evaluation, Recommendation Systems, Clustering Analysis and Predictive Analytics. 

Featured Book

9781484234525 © Apress 2021