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

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Xehetasun bibliografikoak
Egile nagusia:	Mukherjee, Sudipta. (Egilea)
Beste egile batzuk:	Herbrich, Ralf. (Préface)
Formatua:	E-Book
Hizkuntza:	Anglais
Argitaratua:	Birmingham : Packt Publishing, 2016.
Gaiak:	F♯ (Computer program language). Machine learning. F# (langage de programmation). Apprentissage automatique.
Autres localisations:	Voir dans le Sudoc
Sarrera elektronikoa:	Accès à l'E-book

Antzeko izenburuak

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
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Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
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Python machine learning
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Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning
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Argitaratua: (2017)

Practical machine learning in R
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Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
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Argitaratua: (2017)

Adversial robustness for machine learning
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Machine learning for planetary science
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Argitaratua: (2022)

Graph Machine Learning : Take graph data to the next level by applying machine learning techniques and algorithms
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Argitaratua: (2021)

Machine learning : a bayesian and optimization perspective
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Argitaratua: (2015)

Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
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Argitaratua: (2015)

Optimization for machine learning
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Argitaratua: (2011)

Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications
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Argitaratua: (2016)

Gaussian Processes for Machine Learning
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Argitaratua: (2005)

Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks
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Argitaratua: (2018)

R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
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Argitaratua: (2016)

Apprentissage machine, clé de l'intelligence artificielle : une introduction pour non-spécialistes
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Machine learning avec Scikit-Learn : mise en oeuvre et cas concrets
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Introduction to statistical machine learning
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Argitaratua: (2015)

Introduction au machine learning
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Argitaratua: (2022)

Machine learning : expert techniques to tackle complex machine learning problems using Python
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Argitaratua: (2018)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
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Argitaratua: (2018)

Deep learning
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Argitaratua: (2019)

Developmental robotics : from babies to robots
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The Promise of Artificial Intelligence : Reckoning and Judgment
nork: Smith, Brian Cantwell.
Argitaratua: (2019)

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
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Argitaratua: (2016)

Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems
nork: Ozdemir, Sinan.
Argitaratua: (2018)

Deep learning avec Keras et TensorFlow : mise en oeuvre et cas concrets
nork: Géron, Aurélien (19..-....).

Apprentissage artificiel : concepts et algorithmes : de Bayes et Hume au Deep Learning
nork: Barra, Vincent (19..-....; chercheur en informatique de modélisation).
Argitaratua: (2021)

Python pour le data scientist : des bases du langage au machine learning
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Deep learning with TensorFlow : explore neural networks and build intelligent systems with Python
nork: Zaccone, Giancarlo.
Argitaratua: (2018)

TensorFlow deep learning projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
nork: Massaron, Luca (19..-....).
Argitaratua: (2018)

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
nork: Koduvely, Hari M..
Argitaratua: (2015)

Big data et machine learning : les concepts et les outils de la data science
nork: Lemberger, Pirmin.
Argitaratua: (2019)

Machine learning for time series forecasting with Python
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Les data sciences en 100 questions-réponses
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Argitaratua: (2020)

Data science : fondamentaux et études de cas : machine learning avec Python et R
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Argitaratua: (2015)

Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling
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Argitaratua: (2018)

Data science par la pratique : fondamentaux avec Python
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Argitaratua: (2020)

Extraction et gestion des connaissances : EGC'2016 : [16ème conférence francophone sur l'extraction et la gestion des connaissances, Reims, 18-22 janvier 2016]

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