Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).
This book was developed from a series of national and international workshops that the author has been delivering for over twenty years.
The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.
Features:
No prior experience of programming is required
Online GitHub repository available with codes for readers to practice
Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing
Full solutions to exercises are available as Jupyter notebooks on the Web
Support Material
GitHub Repository of Python Files and Notebooks:
Solutions to All Exercises:
Section 1: An Introduction to Python:
Section 2: Python for Scientific Computing:
Section 3: Artificial Intelligence:
Format Häftad Omfång 314 sidor Språk Engelska Förlag Taylor & Francis Ltd Utgivningsdatum 2023-06-15 ISBN 9781032258713 ","url":"https://cdon.se/produkt/python-for-scientific-computing-and-artificial-intelligence-haftad-eng-c63579f0a5185a48/","image":"https://cdn.cdon.com/media-dynamic/images/product/cloud/store/PrintBooks/000/174/282/255/174282255-308140720-11453-org.jpg?cache=133704804126861728","sku":"116924350","gtin":"9781032258713","brand":{"@type":"Brand","name":""},"offers":{"@type":"Offer","url":"https://cdon.se/produkt/python-for-scientific-computing-and-artificial-intelligence-haftad-eng-c63579f0a5185a48/","priceCurrency":"SEK","price":969,"priceValidUntil":"2025-08-08T23:59:59.999+00:00","itemCondition":"https://schema.org/NewCondition","availability":"https://schema.org/InStock","seller":{"@type":"Organization","name":"CDON"},"shippingDetails":{"@id":"#shipping_policy","@type":"OfferShippingDetails","deliveryTime":{"@type":"ShippingDeliveryTime","handlingTime":{"@type":"QuantitativeValue","minValue":0,"maxValue":1,"unitCode":"DAY"},"transitTime":{"@type":"QuantitativeValue","minValue":7,"maxValue":8,"unitCode":"DAY"}}}}}