๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Python for Artificial Intelligence: A Comprehensive Guide

โœ Scribed by Dr. Hesham Mohamed Elsherif


Publisher
Independently Published
Year
2024
Tongue
English
Leaves
247
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Welcome to "Python for Artificial Intelligence: A Comprehensive Guide." In today's rapidly evolving technological landscape, Artificial Intelligence (AI) stands at the forefront of innovation, driving transformative changes across industries and domains. At the heart of AI lies Python, a versatile and powerful programming language renowned for its simplicity, flexibility, and rich ecosystem of libraries and frameworks.
This book is crafted as a comprehensive guide to mastering Python for AI, catering to learners of all levels, from aspiring beginners to seasoned practitioners. Whether you're a student, a professional developer, or an AI enthusiast eager to delve into the world of machine learning and deep learning, this book is your roadmap to success.


๐Ÿ“œ SIMILAR VOLUMES


Artificial Intelligence in Finance: A Py
โœ Yves Hilpisch ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› O'Reilly Media ๐ŸŒ English

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll lea

The Statistics and Calculus with Python
โœ Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Jose ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Packt Publishing ๐ŸŒ English

<p><b>With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy</b></p><h4>Key Features</h4><ul><li>Discover how most programmers use the main Python libraries when performing statistics with Py

Python Beginners Guide to Artificial Int
โœ Denis Rothman, Matthew Lamons, Rahul Kumar, Abhishek Nagaraja, Amir Ziai, Ankit ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Packt Publishing ๐ŸŒ English

This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical indus

Python: Advanced Guide to Artificial Int
โœ Bonaccorso, Giuseppe;Fandango, Armando;Shanmugamani, Rajalingappaa ๐Ÿ“‚ Library ๐Ÿ“… 2018;2019 ๐Ÿ› Packt Publishing ๐ŸŒ English

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key Features Master supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similar

Artificial Intelligence: A Guide for Eve
โœ Arshad Khan ๐Ÿ“‚ Library ๐Ÿ“… 2024 ๐Ÿ› Springer ๐ŸŒ English

<p><span>Enterprises, as well as individuals, are racing to reap the benefits of AI. However, in most cases, they are doing so without understanding the technology or its implications and risks, which can be significant. </span><span>Artificial Intelligence: A</span><span> </span><span>Guide for Eve