Python advanced guide artificial de bonaccorso giuseppe (20 resultados)
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: Goodwill San Antonio, San Antonio, TX, Estados Unidos de AmericaGoodwill San Antonio
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Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: Goodwill of Central and Coastal Virginia, Richmond, VA, Estados Unidos de AmericaGoodwill of Central and Coastal Virginia
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EUR 21,87
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Python: Advanced Guide to Artificial Intelligence : Expert Machine Learning Systems and Intelligent Agents Using Python
Fandango, Armando, Bonaccorso, Giuseppe, Shanmugamani, Rajalingappaa
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Librería: Better World Books, Mishawaka, IN, Estados Unidos de AmericaBetter World Books
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EUR 30,15
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Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 46,65
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Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 49,02
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Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 49,29
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Condición: As New. Unread book in perfect condition.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 62,34
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Paperback. Condición: New. Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity l…earning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problemsThis Learning Path includes content from the following Packt products:Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is forThis Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 52,38
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Condición: New. In.
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Armando Fandango, Giuseppe Bonaccorso, Rajalingappaa Shanmugamani
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 49,05
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Paperback. Condición: New.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 68,58
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity l…earning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problemsThis Learning Path includes content from the following Packt products:Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is forThis Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 52,03
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Condición: New.
Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 57,18
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Condición: As New. Unread book in perfect condition.
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 73,58
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Condición: New. pp. 764.
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Librería: Libros Feroces, castellgali, B, EspañaLibros Feroces
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EUR 32,19
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Condición: Usado.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 64,31
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Paperback. Condición: New. Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity l…earning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problemsThis Learning Path includes content from the following Packt products:Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is forThis Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Bonaccorso, Giuseppe, Fandango, Armando, Shanmugamani, Rajal
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 85,23
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Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 63,80
Envío por EUR 75,75Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity l…earning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problemsThis Learning Path includes content from the following Packt products:Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is forThis Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
- Tapa blanda
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 68,89
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Condición: New. Print on Demand pp. 764.
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 71,49
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND pp. 764.
