The AI Artificial Intelligence Course From Beginner to Expert E-Book

Asomoo Ebooks

• Herausgeber: BookRix
• Kategorie: Fachliteratur
• Sprache: Englisch

Veröffentlichungsjahr: 2024

Beschreibung

Este libro es el número 1 en ventas por su importante contenido para el aprendizaje y desarrollo que este libro tiene para cada persona, aprendiendo todo lo relacionado con la inteligencia artificial para uso comercial o personal.
“La inteligencia artificial está transformando rápidamente el mundo que conocemos. Cada día, nuevas aplicaciones y avances en IA están mejorando nuestras vidas, desde la medicina hasta la conducción autónoma, la educación y mucho más. Al invertir en un curso de inteligencia artificial, estás invirtiendo en tu futuro y en la capacidad de participar activamente en esta revolución tecnológica.
La IA no es solo una habilidad valiosa, es un superpoder que puede expandir tus oportunidades en el mercado laboral y permitirte abordar problemas complejos en una variedad de campos. Imagina las posibilidades de contribuir a la medicina personalizada, la conservación del medio ambiente, automatizar tareas aburridas o crear productos innovadores.
Pero, como con cualquier habilidad, el viaje comienza con el aprendizaje. A través de un curso de inteligencia artificial, puedes adquirir los conocimientos y habilidades necesarias para explorar un mundo de posibilidades ilimitadas. No importa si eres un principiante o un profesional experimentado, siempre hay espacio para crecer y aprender en este apasionante campo.
Recuerda, la inteligencia artificial no es solo para expertos, es para aquellos que están dispuestos a aprender y aplicar sus conocimientos para hacer del mundo un lugar mejor. ¿Qué estás esperando? ¡Invierte en ti, en tu futuro y en el potencial ilimitado de la inteligencia artificial! Este curso es el primer paso hacia un mundo de oportunidades. ¡Anímate y comienza tu viaje hoy mismo!

Leseprobe

THE

AI

Artificial Intelligence Course

From Beginner to Expert

This book is number 1 in sales for its important content for the learning and development that this book has for each person, learning everything related to artificial intelligence for commercial or personal use.

By: Asomoo.Net and Victor Montas

Copyright © 2023 Asomoo.Net and Victor Montas All rights reserved. | www.asomoo.net

Index

MODULES 1

Module 1: Fundamentals of Artificial Intelligence

• Lesson 1: Introduction to Artificial Intelligence

• Definition and basic concepts.

• History of AI.

• AI applications.

• Lesson 2: Machine Learning

• Supervised, unsupervised and reinforcement learning.

• Algorithms and examples.

• Lesson 3: Artificial Neural Networks

• Basic concepts of neural networks.

• Training of neural networks.

Module 2: AI Tools and Technologies

• Lesson 4: Python for AI

• Introduction to Python and relevant libraries (NumPy, pandas, scikit-learn).

• Lesson 5: Machine Learning Libraries

• TensorFlow and Keras.

• PyTorch.

• Lesson 6: AI Project Development

• Use of Jupyter Notebooks.

• Configuration of development environments.

Module3: Practical Applications of AI

• Lesson 7: Computer Vision

• Object detection.

• Image recognition.

• Lesson 8: Natural Language Processing (NLP)

• Text processing.

• Language models.

Module4: Ethics and Considerations in AI

• Lesson 9: Ethics in Artificial Intelligence

• Biases in data and algorithms.

• Privacy & Security.

Module5: Final Project

• Students can apply what they learn in a final project, which may be an AI application or data analysis.

Resources and Tools:

• Python: It is the most used programming language in AI due to its large number of libraries and resources.

• Jupyter Notebooks: For interactive experimentation.

• TensorFlow and Keras: Popular tools for neural network development.

• PyTorch: Another powerful library for neural networks.

• Scikit-learn: For classical machine learning algorithms.

• Public databases and datasets: Such as MNIST, CIFAR-10, IMDB, etc.

• Cloud platforms: Such as Google Colab, AWS, or Microsoft Azure for access to computing resources.

• Books and online courses: Like “Machine Learning” by Andrew Ng on Coursera or “Deep Learning” by Ian Goodfellow.

• Online forums and communities: Such as Stack Overflow, Reddit (r/MachineLearning), and GitHub for additional resources and help.

Remember that AI is a constantly evolving field, so it is important to keep the course updated and encourage research and continuous learning among students. Good luck with your AI course!

Module 1: Fundamentals of Artificial Intelligence

Lesson 1: Introduction to Artificial Intelligence

Artificial intelligence (AI) is a fascinating discipline that seeks to develop computer systems capable of performing tasks that would normally require human intelligence. In other words, AI focuses on creating programs and algorithms that can learn, reason, make decisions, and solve problems autonomously.

Since its inception, AI has been on an exciting development path that has led to significant advances in a variety of fields, including medicine, robotics, customer service, self-driving cars, and many others. In essence, AI seeks to emulate human intelligence, allowing machines to process information, adapt to the environment and make decisions based on data and past experiences.

This area of study draws on a wide range of techniques and approaches, such as machine learning, natural language processing (NLP), artificial neural networks and computer vision, to name just a few. These methods allow computers to analyze large data sets, identify patterns, solve complex problems, and in some cases outperform humans at specific tasks.