Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications (Advanced Data Analytics Book 1)

Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition) 9789391392352, 9391392350

Concepts of Machine Learning with Practical Approaches. Key Features ● Includes real-scenario examples to explain

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Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning [1st ed. 2021] 3030658996, 9783030658991

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced

1,691 325 11MB Read more

Supervised and Unsupervised Learning for Data Science 9783030224752, 9783030224745, 3030224759

This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a b

225 102 14MB Read more

Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning [1 ed.] 3540316817, 9783540316817, 9783540316893

This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively

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Machine Learning For Absolute Beginners a Step by Step guide Algorithms For Supervised and Unsupervised Learning With Real World Applications 9781773830032, 1773830031

Machines can LEARN ?!?! Machine learning occurs primarily through the use of " algorithms" and other elaborate

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python 9781838823580, 1838823581

Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to sol

2,904 506 12MB Read more

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python 9781838823580, 1838823581

Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to sol

625 93 13MB Read more

R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 1789807948, 9781789807943

Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more Key Fea

2,796 386 7MB Read more

Machine Learning Algorithms and Applications 9781119768852

2,017 278 13MB Read more

Advanced Machine Learning Applications in Big Data Analytics 9783036584867, 9783036584874, 3036584874

With the development of computer technology and communication technology, various industries have collected a large amou

166 68 50MB Read more