Fundamentals of Machine Learning for Predictive Data Analytics, Second Edition: Algorithms, Worked Examples, and Case Studies

Name: Fundamentals of Machine Learning for Predictive Data Analytics, Second Edition: Algorithms, Worked Examples, and Case Studies - John D. Kelleher
Brand: MIT PRESS
SKU: 37065686

Fundamentals of Machine Learning for Predictive Data Analytics, Second Edition: Algorithms, Worked Examples, and Case Studies

John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at Technological University Dublin. He is the coauthor of Data Science and the author of Deep Learning, both in the MIT Press Essential Knowledge series.

Brian Mac Namee is Associate Professor at the School of Computer Science at University College Dublin

Aoife D'Arcy is CEO of Krisolis, a data analytics company based in Dublin.

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Brian Mac Namee is Associate Professor at the School of Computer Science at University College Dublin

Aoife D'Arcy is CEO of Krisolis, a data analytics company based in Dublin.

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Detaliile produsului

Editie: Hardcover

Nr. pagini: 856

Varsta: +10 ani

Cod: BRT9780262044691

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Fundamentals of Machine Learning for Predictive Data Analytics, Second Edition: Algorithms, Worked Examples, and Case Studies

De (autor): John D. Kelleher

Fundamentals of Machine Learning for Predictive Data Analytics, Second Edition: Algorithms, Worked Examples, and Case Studies

De (autor): John D. Kelleher

Descrierea produsului

S-ar putea sa-ti placa si

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R - Pratap Dangeti

Machine Learning: An Introduction To Supervised & Unsupervised Learning Algorithms - Michael Colins

Machine Learning for Absolute Beginners: A Simple, Concise & Complete Introduction to Supervised and Unsupervised Learning Algorithms - Jennifer Grange

Data Mining and Machine Learning - Mohammed J Zaki

Machine Learning for Hackers: Case Studies and Algorithms to Get You Started - Drew Conway

Algorithms Unlocked

Python Machine Learning, Third Edition - Sebastian Raschka

Elements of Causal Inference: Foundations and Learning Algorithms - Jonas Peters

Learn Data Analytics For Beginners: Data Analyst, Deep Learning, Neural Network, Python Data Analytics - Sathish Kumar

Machine Learning with R - Third Edition: Expert techniques for predictive modeling - Brett Lantz

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection - Vitor Cerqueira

Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools - David Mertz

Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Amita Kapoor

Quantum Computing and Supervised Machine Learning: Training And Model Selection - Philips Coleman Ph. D.

The Hundred-Page Machine Learning Book - Andriy Burkov

Time Series Forecasting in Python - Marco Peixeiro

Introduction to Machine Learning with R - Burger Scott

MATLAB for Machine Learning: Practical examples of regression, clustering and neural networks - Giuseppe Ciaburro

De acelasi autor

Deep Learning - John D. Kelleher

Data Science

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