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The Absolute Beginner's Guide to Python Programming : A Step-by-Step Guide with Examples and Lab Exercises / / by Kevin Wilson
| The Absolute Beginner's Guide to Python Programming : A Step-by-Step Guide with Examples and Lab Exercises / / by Kevin Wilson |
| Autore | Wilson Kevin (Kevin Peter), <1978-> |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 |
| Descrizione fisica | 1 online resource (200 pages) |
| Disciplina | 005.133 |
| Soggetto topico |
Python (Computer program language)
Programming languages (Electronic computers) Python Programming Language |
| ISBN |
9781484287163
1484287169 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: What is Python -- Chapter 2: The Basics -- Chapter 3: Working with Data -- Chapter 4: Flow Control -- Chapter 5: Handling Files -- Chapter 6: Using Functions -- Chapter 7: Using Modules -- Chapter 8: Exception Handling -- Chapter 9: Object Oriented Programming -- Chapter 10: Building an Interface -- Chapter 11: Developing a Game -- Chapter 12: Python Web Development. |
| Record Nr. | UNINA-9910616398503321 |
Wilson Kevin (Kevin Peter), <1978->
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learning Problems on Edge Devices / / by Chanchal Chatterjee
| Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learning Problems on Edge Devices / / by Chanchal Chatterjee |
| Autore | Chatterjee Chanchal |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 |
| Descrizione fisica | 1 online resource (290 pages) |
| Disciplina | 005.133 |
| Soggetto topico |
Python (Computer program language)
Machine learning |
| ISBN |
9781484280171
1484280172 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introducing Data Representation Features -- Chapter 2. General Theories and Notations -- Chapter 3. Square Root and Inverse Square Root -- Chapter 4. First Principal Eigenvector -- Chapter 5. Principal and Minor Eigenvectors -- Chapter 6. Accelerated Computation eigenvectors -- Chapter 7. Generalized Eigenvectors -- Chapter 8. Real – World Applications Linear Algorithms. |
| Record Nr. | UNINA-9910552714203321 |
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Chatterjee Chanchal
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection / / by Umberto Michelucci
| Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection / / by Umberto Michelucci |
| Autore | Michelucci Umberto |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 |
| Descrizione fisica | 1 online resource (XVIII, 285 p. 88 illus., 28 illus. in color.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Python (Computer program language) Open source software Artificial Intelligence Python Open Source |
| ISBN |
9781484249765
1484249763 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction and Development Environment Setup -- Chapter 2: TensorFlow: advanced topics -- Chapter 3: Fundamentals of Convolutional Neural Networks -- Chapter 4: Advanced CNNs and Transfer Learning -- Chapter 5: Cost functions and style transfer -- Chapter 6: Object classification - an introduction -- Chapter 7: Object localization - an implementation in Python -- Chapter 8: Histology Tissue Classification. |
| Record Nr. | UNINA-9910349527903321 |
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Michelucci Umberto
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques / / by Sayan Mukhopadhyay, Pratip Samanta
| Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques / / by Sayan Mukhopadhyay, Pratip Samanta |
| Autore | Mukhopadhyay Sayan |
| Edizione | [2nd ed. 2023.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 |
| Descrizione fisica | 1 online resource (259 pages) |
| Disciplina | 006.312 |
| Soggetto topico |
Artificial intelligence - Data processing
Machine learning Python (Computer program language) Artificial intelligence Data Science Machine Learning Python Artificial Intelligence |
| ISBN |
9781484280058
1484280059 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Overview of Python Language -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning and Unsupervised Learning with Python -- Chapter 4: Clustering with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Analytics in Scale. |
| Record Nr. | UNINA-9910632475203321 |
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Mukhopadhyay Sayan
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / / by Sayan Mukhopadhyay
| Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / / by Sayan Mukhopadhyay |
| Autore | Mukhopadhyay Sayan |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
| Descrizione fisica | 1 online resource (195 pages) |
| Disciplina | 005.133 |
| Soggetto topico |
Python (Computer program language)
Big data Open source software Computer programming Python Big Data Open Source |
| ISBN |
9781484234501
1484234502 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning with Python -- Chapter 4: Unsupervised Learning with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Python in Emerging Technologies. |
| Record Nr. | UNINA-9910300760303321 |
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Mukhopadhyay Sayan
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced deep learning with Python : design and implement advanced next-generation AI solutions using TensorFlow and Pytorch / / Ivan Vasilev
| Advanced deep learning with Python : design and implement advanced next-generation AI solutions using TensorFlow and Pytorch / / Ivan Vasilev |
| Autore | Vasilev Ivan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England ; ; Mumbai : , : Packt, , [2019] |
| Descrizione fisica | 1 online resource (456 pages) |
| Disciplina | 005.133 |
| Soggetto topico | Python (Computer program language) |
| ISBN | 1-78995-271-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793816703321 |
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Vasilev Ivan
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| Birmingham, England ; ; Mumbai : , : Packt, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced deep learning with Python : design and implement advanced next-generation AI solutions using TensorFlow and Pytorch / / Ivan Vasilev
| Advanced deep learning with Python : design and implement advanced next-generation AI solutions using TensorFlow and Pytorch / / Ivan Vasilev |
| Autore | Vasilev Ivan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England ; ; Mumbai : , : Packt, , [2019] |
| Descrizione fisica | 1 online resource (456 pages) |
| Disciplina | 005.133 |
| Soggetto topico | Python (Computer program language) |
| ISBN | 1-78995-271-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910826422503321 |
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Vasilev Ivan
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| Birmingham, England ; ; Mumbai : , : Packt, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / / Rowel Atienza
| Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / / Rowel Atienza |
| Autore | Atienza Rowel |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Birmingham, UK : , : Packt Publishing, , 2020 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Soggetto topico |
Artificial intelligence
Machine learning Python (Computer program language) Neural networks (Computer science) |
| ISBN | 1-83882-572-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910795281003321 |
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Atienza Rowel
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| Birmingham, UK : , : Packt Publishing, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / / Rowel Atienza
| Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / / Rowel Atienza |
| Autore | Atienza Rowel |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Birmingham, UK : , : Packt Publishing, , 2020 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Disciplina | 005.133 |
| Soggetto topico |
Artificial intelligence
Machine learning Python (Computer program language) Neural networks (Computer science) |
| ISBN |
9781838825720
183882572X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910966807603321 |
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Atienza Rowel
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| Birmingham, UK : , : Packt Publishing, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Forecasting with Python : Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools / / by Joos Korstanje
| Advanced Forecasting with Python : Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools / / by Joos Korstanje |
| Autore | Korstanje Joos |
| Edizione | [2nd ed. 2025.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 |
| Descrizione fisica | 1 online resource (321 pages) |
| Disciplina | 005.13/3 |
| Collana | Professional and Applied Computing Series |
| Soggetto topico |
Python (Computer program language)
Machine learning Time-series analysis - Data processing |
| ISBN | 979-88-6882-028-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I: Machine Learning for Forecasting -- Chapter 1: Models for Forecasting -- Chapter 2: Model Evaluation for Forecasting -- Chapter 3: Model Management and Benchmarking using MLflow -- PART II: Univariate Time Series Models -- Chapter 4: The AR model -- Chapter 5: The MA model -- Chapter 6: The ARMA model -- Chapter 7: The ARIMA model -- Chapter 8: The SARIMA model -- PART III: Multivariate Time Series Models -- Chapter 9: The SARIMAX model -- Chapter 10: The VAR model -- Chapter 11: The VARMAX model -- PART IV: Supervised Models -- Chapter 12: The Linear Regression -- Chapter 13: The Decision Tree Model -- Chapter 14: The kNN model -- Chapter 15: The Random Forest -- Chapter 16: Gradient Boosting with XGBoost, LightGBM, and CatBoost -- Chapter 17: Bayesian Models with pyBATS -- PART V: Neural Networks -- Chapter 18: Neural Networks -- Chapter 19: RNNs using SimpleRNN and GRU -- Chapter 20: LSTM RNNs -- PART VI: Black Box and Cloud Based Models -- Chapter 21: The NBEATS model with Darts -- Chapter 22: The Transformer model with Darts -- Chapter 23: The NeuralProphet model -- Chapter 24: The DeepAR model and AWS Sagemaker AI -- Chapter 25: Uber's Orbit Model -- Chapter 26: AutoML with Microsoft Azure -- Chapter 27: AutoML with Vertex AI on Google Cloud Platform -- Chapter 28: Nixtla Suite and TimeGPT -- Chapter 29: Model Selection. |
| Record Nr. | UNINA-9911047818403321 |
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Korstanje Joos
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
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Python (Computer program language)
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- Python (249)
- Machine learning (131)
- Artificial intelligence (110)
- Computer programming (100)