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Mejora tu negocio con Inteligencia Artificial

Edwin Moreno

Este curso tiene la intención de ser un referente para la nueva generación de emprendedores y brindar una guía tanto para constituir nuevos negocios, como transformar organizaciones existentes utilizando los beneficios de la inteligencia artificial y las nuevas metodologías de innovación.

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What's inside

Syllabus

Semana 1: Inteligencia Artificial y Aprendizaje Máquina

En esta sección podrás tener un primer acercamiento a lo que es la Inteligencia Artificial y el Aprendizaje Máquina, podrás conocer su fundamento e historia.

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Semana 2: Herramientas de IA y el método de clasificación en negocios

Durante esta semana, explorarás diversas herramientas y softwares que facilitan la aplicación de la IA en los negocios. Se analizarán las características y usos de estos softwares, además de profundizar en el problema de la clasificación dentro del aprendizaje máquina. Los participantes aprenderán sobre métodos y algoritmos comunes para la clasificación de datos y cómo los árboles de decisión pueden ser utilizados para tomar decisiones empresariales informadas.

Semana 3: Agentes virtuales

Ha llegado el momento de aprender sobre los agentes virtuales, su historia, funciones y tipos (de voz y de texto).

Semana 4: Clasificación de clientes por historial crediticio

En esta semana, aprenderás a clasificar a los clientes por su historial crediticio, con ayuda de la inteligencia artificial y también encontrarás un gran apoyo en el análisis de caso que se te presentará a continuación.

Semana 5: Aplicación de identificación de imágenes y sistemas de recomendación

En esta última semana, podrás aprender a aplicar la identificación de imágenes y sistemas de recomendación.

Evaluación final

En la evaluación final podrás poner en práctica todos tus conocimientos adquiridos.

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(English) AI 2041: Ten Visions for Our Future

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Artificial Intelligence

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Artificial Intelligence

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A thought-provoking book that explores the potential implications of AI for human society, such as the possibility of a technological singularity and the need for new ethical frameworks.

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(Deutsch) Leben 3.0: Mensch sein im Zeitalter Künstlicher...

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Reinforcement Learning, second edition

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A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.

(English) Reinforcement Learning, second edition: An...

(English) Reinforcement Learning, second edition: An...

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Python Machine Learning

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Artificial Intelligence

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A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.

(English) Artificial Intelligence: A Modern Approach

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A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.

(English) Deep Learning (Adaptive Computation and Machine...

(English) Deep Learning (Adaptive Computation and Machine...

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The Master Algorithm

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A popular science book that discusses the development of AI algorithms and their potential impact on various aspects of human life, such as healthcare, transportation, and finance.

(English) The Master Algorithm: How the Quest for the...

(English) Master algorithm (Korean Edition)

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Natural Language Processing with Python

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A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.

(English) Natural Language Processing with Python: Analyzing...

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Will Artificial Intelligence Outsmart Us?

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A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.

Will Artificial Intelligence Outsmart Us?

Will Artificial Intelligence Outsmart Us?

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Künstliche Intelligenz

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A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.

(Deutsch) Künstliche Intelligenz (Fischer Kompakt) (German...

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Deep Learning with R

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A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.

Deep Learning with R

Deep Learning with R

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Probabilistic Graphical Models

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A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.

(English) Probabilistic Graphical Models: Principles and...

(English) Probabilistic Graphical Models: Principles and...

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Dive into Deep Learning

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Provides a comprehensive and practical guide to deep learning, including hands-on exercises and real-world examples.

(English) Dive into Deep Learning

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Machine Learning

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Provides a comprehensive treatment of machine learning from a probabilistic perspective, covering a wide range of topics from Bayesian inference to deep learning.

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Machine Learning

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Machine Learning for Absolute Beginners

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Gentle introduction to machine learning, suitable for those with no prior knowledge of the field, with a focus on understanding the concepts rather than the math.

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(English) Machine Learning for Absolute Beginners: A Plain...

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Hands-On Machine Learning with Scikit-Learn, Keras,...

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Practical guide to machine learning with Python, covering a wide range of topics from data preprocessing to model evaluation.

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(English) Hands-On Machine Learning with Scikit-Learn, Keras,...

(English) Hands-On Machine Learning with Scikit-Learn, Keras,...

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An Introduction to Statistical Learning

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Provides a balanced treatment of both statistical and machine learning methods, making it accessible to a wide audience.

An Introduction to Statistical Learning

An Introduction to Statistical Learning

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Pattern Recognition and Machine Learning

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Classic text on machine learning and statistical pattern recognition, with a focus on Bayesian approaches. The author has won the prestigious Turing Award.

(English) Pattern Recognition and Machine Learning...

(English) Pattern Recognition and Machine Learning...

(English) Pattern Recognition and Machine Learning (text...

Unknown Binding

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Python Machine Learning

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This book, written by the Stanford University professor and former Chief Scientist at Baidu, provides a clear overview of machine learning with lots of diagrams and hands-on practice.

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(English) Data Science and Big Data Analytics: A Step by Step...

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Level

Introductory

Via

Coursera

Institution

Universidades Anáhuac

Instructor

Edwin Moreno

Session

March 17, 2025 - May 5, 2025

Language

Español

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