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1

Machine learning for planetary science

Machine learning for planetary science

由 Helbert, Joern.
出版 2022

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2

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch

由 Subramanian, Vishnu (19..-....).
出版 2018

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3

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning

由 Bonnin, Rodolfo.
出版 2017

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4

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

由 Hackeling, Gavin.
出版 2017

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5

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow

由 Gulli, Antonio.
出版 2017

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6

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python

Python : deeper insights into machine learning :

由 Raschka, Sebastian.
出版 2016

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7

F# for machine learning essentials : get up and running with machine learning with F# in a fun and functional way

F# for machine learning essentials : get up and running with machine learning with F# in a fun and functional way

由 Mukherjee, Sudipta.
出版 2016

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8

Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications

Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications

由 Dixon, Jamie.
出版 2016

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9

Machine learning : a bayesian and optimization perspective

Machine learning : a bayesian and optimization perspective

由 Theodoridis, Sergios.
出版 2015

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10

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

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

由 Koduvely, Hari M..
出版 2015

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11

Introduction to statistical machine learning

Introduction to statistical machine learning

由 Sugiyama, Masashi.
出版 2015

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12

Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout

Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout

由 Withanawasam (Jayani).
出版 2015

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13

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

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

由 Richert, Willi.
出版 2013

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14

Machine learning : theory and applications

Machine learning : theory and applications

由 Govindaraju, Venugopal (1964-....).
出版 2013

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15

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

由 Lantz, Brett.
出版 2013

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16

Optimization for machine learning

Optimization for machine learning

由 Sra, Suvrit (1976-....).
出版 2011

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17

Gaussian Processes for Machine Learning

Gaussian Processes for Machine Learning

由 Rasmussen, Carl Edward (1969-....).
出版 2005

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18

An introduction to computational learning theory

An introduction to computational learning theory

由 Kearns, Michael J..
出版 1994

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19

Deep learning avec Keras et TensorFlow : mise en oeuvre et cas concrets

Deep learning avec Keras et TensorFlow : mise en oeuvre et cas concrets

由 Géron, Aurélien (19..-....).

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20

Large-Scale Kernel Machines

Large-Scale Kernel Machines

由 Bottou, Léon (1965-....).

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21

Dataset Shift in Machine Learning

Dataset Shift in Machine Learning

由 Joaquin, Quiñonero-Candela.

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22

Practical machine learning in R

Practical machine learning in R

由 Nwanganga, Fred (19..-....).

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23

Python machine learning

Python machine learning

由 Lee, Wei-Meng (19..-....).

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