Python advanced guide artificial von bonaccorso giuseppe (20 Ergebnisse)
Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
- Softcover
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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
- Softcover
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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
- Softcover
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Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
- Softcover
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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
- Softcover
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Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
- Softcover
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Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Softcover
Anbieter: Rarewaves USA, OSWEGO, IL, USARarewaves USA
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EUR 62,52
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Paperback. Zustand: 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 lea…rning, 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
Armando Fandango, Giuseppe Bonaccorso, Rajalingappaa Shanmugamani
- Softcover
Anbieter: Chiron Media, Wallingford, Vereinigtes KönigreichChiron Media
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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
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 52,47
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Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Softcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
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EUR 68,78
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Paperback. Zustand: 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 lea…rning, 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
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Python: Advanced Guide to Artificial Intelligence
Giuseppe Bonaccorso; Armando Fandango; Rajalingappaa Shanmugamani
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Zustand: 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
- Softcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
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Zustand: New. pp. 764.
- Softcover
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Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Softcover
Anbieter: Rarewaves USA United, OSWEGO, IL, USARarewaves USA United
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Paperback. Zustand: 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 lea…rning, 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
- Softcover
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Paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Python: Advanced Guide to Artificial Intelligence
Rajalingappaa Shanmugamani, Armando Fandango, Giuseppe Bonaccorso
- Softcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
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EUR 63,91
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Paperback. Zustand: 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 lea…rning, 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.
- Softcover
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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
- Softcover
- Print-on-Demand
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Zustand: 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
- Softcover
- Print-on-Demand
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
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Zustand: New. PRINT ON DEMAND pp. 764.
