System Design for Epidemics Using Machine Learning and Deep Learning, Kanagachidambaresan

Автор: Abraham Varghese, Eduardo M. Lacap, Ibrahim Sajath, Kamal Kumar, Shajidmon Kolamban
Название: Controlling Epidemics with Mathematical and Machine Learning Models
ISBN: 1668478846 ISBN-13(EAN): 9781668478844
Издательство: Mare Nostrum (Eurospan)
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Цена: 235620.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. The book gives mathematical proof of the stability and size of diseases, and covers topics such as compartmental models, reproduction number, and SIR model simulation.

Автор: Garg Lalit, Chakraborty Chinmay, Mahmoudi Saпd
Название: Healthcare Informatics for Fighting Covid-19 and Future Epidemics
ISBN: 3030727513 ISBN-13(EAN): 9783030727512
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak.

Автор: Nazari-Heris Morteza, Asadi Somayeh, Mohammadi-Ivatloo Behnam
Название: Application of Machine Learning and Deep Learning Methods to Power System Problems
ISBN: 3030776956 ISBN-13(EAN): 9783030776954
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems.

Автор: Bonaccorso Giuseppe
Название: Hands-On Unsupervised Learning with Python
ISBN: 1789348277 ISBN-13(EAN): 9781789348279
Издательство: Неизвестно
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Цена: 63750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning for different real-world challenges.

Автор: Kevin Howey
Название: Python Machine Learning: The Complete Beginners Guide to Programming and Deep Learning, Data Science and Artificial Intelligence Using Scikit-L
ISBN: 1802282076 ISBN-13(EAN): 9781802282078
Издательство: Неизвестно
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Цена: 22980.00 T
Наличие на складе: Нет в наличии.
Описание:

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Автор: Coelho Luis Pedro, Richert Willi, Brucher Matthieu
Название: Building Machine Learning Systems with Python. - Third Edition: Explore machine learning and deep learning techniques for building intelligent systems
ISBN: 1788623223 ISBN-13(EAN): 9781788623223
Издательство: Неизвестно
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Цена: 53940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning allows models or systems to learn without being explicitly programmed. You will see how to use the best of libraries support such as scikit-learn, Tensorflow and much more to build efficient smart systems.

Автор: Fandango Armando
Название: Mastering TensorFlow
ISBN: 1788292065 ISBN-13(EAN): 9781788292061
Издательство: Неизвестно
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Цена: 47810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras, TensorFlow Learn, TensorFlow Slim and Sonnet

Автор: Audevart Alexia, Banachewicz Konrad, Massaron Luca
Название: Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer
ISBN: 1800208863 ISBN-13(EAN): 9781800208865
Издательство: Неизвестно
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Цена: 47810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed to guide you through TensorFlow 2 and how to use it effectively. Throughout the book, you will work through recipes and get hands-on experience to perform complex data computations, gain insights into your data, and more.

Автор: Kar Krishnendu
Название: Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
ISBN: 1838827064 ISBN-13(EAN): 9781838827069
Издательство: Неизвестно
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Цена: 60070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

Автор: Sharad Mangrulkar Ramchandra, Michalas Antonis, Shekokar Narendra
Название: Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
ISBN: 0367679795 ISBN-13(EAN): 9780367679798
Издательство: Taylor&Francis
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Цена: 153120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0.

Автор: Ceja, Enrique Garcia
Название: Behavior analysis with machine learning using r
ISBN: 1032067047 ISBN-13(EAN): 9781032067049
Издательство: Taylor&Francis
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Цена: 84710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records.

Автор: Roque Fernando
Название: Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics withou
ISBN: 1803247738 ISBN-13(EAN): 9781803247731
Издательство: Неизвестно
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Цена: 57610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book uses real-life datasets from Kaggle to explain basic statistics for machine learning for data segmentation, regression predictions, and forecasts. You`ll focus on variable dependency and autocorrelation to build, test, and use a linear regression prediction model and time series forecasts.