Mastering machine learning with scikit-learn : learning to implement and evaluate machine learning solutions with scikit-learn

Mastering machine learning with scikit-learn : learning to implement and evaluate machine learning solutions with scikit-learn

Đã lưu trong:

Chi tiết về thư mục
Tác giả chính:	Hackeling, Gavin. (Tác giả)
Định dạng:	E-Book
Ngôn ngữ:	Anglais
Được phát hành:	Birmingham, UK : Packt Publishing Ltd, 2017.
Những chủ đề:	Machine learning.
Autres localisations:	Voir dans le Sudoc
Truy cập trực tuyến:	Accès à l'E-book

Những quyển sách tương tự

Machine learning : theory and applications
Bằng: Govindaraju, Venugopal (1964-....).
Được phát hành: (2013)

Dataset Shift in Machine Learning
Bằng: Joaquin, Quiñonero-Candela.

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
Bằng: Lantz, Brett.
Được phát hành: (2013)

An introduction to computational learning theory
Bằng: Kearns, Michael J..
Được phát hành: (1994)

Machine learning avec Scikit-Learn : mise en oeuvre et cas concrets
Bằng: Géron, Aurélien (19..-....).

Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications
Bằng: Dixon, Jamie.
Được phát hành: (2016)

Scikit-learn : machine learning simplified
Bằng: Garreta, Raúl.
Được phát hành: (2017)

Python machine learning
Bằng: Lee, Wei-Meng (19..-....).

Large-Scale Kernel Machines
Bằng: Bottou, Léon (1965-....).

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning
Bằng: Bonnin, Rodolfo.
Được phát hành: (2017)

Building Machine Learning Systems with Python : master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
Bằng: Richert, Willi.
Được phát hành: (2013)

Practical machine learning in R
Bằng: Nwanganga, Fred (19..-....).

Machine Learning with PyTorch and Scikit-Learn : Develop machine learning and deep learning models with Python
Bằng: Raschka, Sebastian.
Được phát hành: (2022)

F# for machine learning essentials : get up and running with machine learning with F# in a fun and functional way
Bằng: Mukherjee, Sudipta.
Được phát hành: (2016)

Machine learning for planetary science
Bằng: Helbert, Joern.
Được phát hành: (2022)

Evolution and Learning The Baldwin Effect Reconsidered
Bằng: Weber, Bruce H..

Machine learning : a bayesian and optimization perspective
Bằng: Theodoridis, Sergios.
Được phát hành: (2015)

Optimization for machine learning
Bằng: Sra, Suvrit (1976-....).
Được phát hành: (2011)

Invertebrate learning and memory
Bằng: Menzel, Randolf (1940-....).
Được phát hành: (2013)

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits : A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Bằng: Amr, Tarek (19..-....).
Được phát hành: (2020)

Scikit-learn cookbook
Bằng: Avila, Julian (19..-....).
Được phát hành: (2017)

Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python
Bằng: Jolly, Kevin.
Được phát hành: (2018)

Gaussian Processes for Machine Learning
Bằng: Rasmussen, Carl Edward (1969-....).
Được phát hành: (2005)

Machine learning
Bằng: Mueller, John Paul (1958-....).

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
Bằng: Raschka, Sebastian.
Được phát hành: (2016)

Mastering predictive analytics with scikit-learn and TensorFlow : implement machine learning techniques to build advanced predictive models using Python
Bằng: Fontaine, Alan.
Được phát hành: (2018)

Statistical and Machine Learning Approaches for Network Analysis
Bằng: Dehmer, Matthias (1968-....).
Được phát hành: (2012)

Introduction to statistical machine learning
Bằng: Sugiyama, Masashi.
Được phát hành: (2015)

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
Bằng: Raschka, Sebastian.
Được phát hành: (2019)

Changing Minds Computers, Learning, and Literacy
Bằng: DiSessa, Andrea A. (1947-....).

Beginning with Machine Learning : The Ultimate Introduction to Machine Learning, Deep Learning, Scikit-learn, and TensorFlow (English Edition)
Bằng: Dua, Amit.

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
Bằng: Gulli, Antonio.
Được phát hành: (2017)

Machine learning fundamentals : use Python and scikit-learn to get up and running with the hottest developments in machine learning
Bằng: Saleh, Hyatt.
Được phát hành: (2018)

The machine learning workshop : get ready to develop your own high-performance machine learning algorithms with scikit-learn
Bằng: Saleh, Hyatt.
Được phát hành: (2020)

Hands-On Gradient Boosting with XGBoost and scikit-learn : Perform accessible machine learning and extreme gradient boosting with Python
Bằng: Wade, Corey.
Được phát hành: (2020)

Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
Bằng: Koduvely, Hari M..
Được phát hành: (2015)

Machine-to-machine (M2M) communications : architecture, performance and applications
Được phát hành: (2014)

Mastering Classification Algorithms for Machine Learning : Learn how to apply Classification algorithms for effective Machine Learning solutions
Bằng: Majumdar, Partha.

Mastering Java machine learning
Bằng: Kamath, Dr. Uday.
Được phát hành: (2017)

Mastering machine learning with R
Bằng: Lesmeister, Cory.
Được phát hành: (2017)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1