Python advanced guide artificial di bonaccorso giuseppe (20 risultati)
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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Da: Goodwill San Antonio, San Antonio, TX, U.S.A.Goodwill 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
- Brossura
Da: Goodwill of Central and Coastal Virginia, Richmond, VA, U.S.A.Goodwill of Central and Coastal Virginia
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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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Da: Better World Books, Mishawaka, IN, U.S.A.Better World Books
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EUR 30,15
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Condizione: 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
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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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
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
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EUR 49,02
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Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 49,29
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Condizione: As New. Unread book in perfect condition.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Brossura
Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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EUR 62,34
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Paperback. Condizione: 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…learning, 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
- Brossura
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 52,38
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Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Armando Fandango, Giuseppe Bonaccorso, Rajalingappaa Shanmugamani
- Brossura
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 49,05
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Paperback. Condizione: New.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Brossura
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 68,58
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Paperback. Condizione: 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…learning, 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
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 52,03
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Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 57,18
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Condizione: 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
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 73,58
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Condizione: New. pp. 764.
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Da: Libros Feroces, castellgali, B, SpagnaLibros Feroces
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EUR 32,19
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Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Brossura
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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EUR 64,31
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Paperback. Condizione: 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…learning, 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
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 85,23
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Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 63,80
EUR 75,75 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: 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…learning, 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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- Print on Demand
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: 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
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 68,89
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Condizione: 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
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 71,49
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Condizione: New. PRINT ON DEMAND pp. 764.
