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Nestor Nicolas Campos Rojas

En este proyecto, vamos a entender la importancia de la privacidad en modelos de Machine Learning usando Azure.

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What's inside

Syllabus

Visión general del proyecto
En este proyecto, vamos a entender la importancia de la privacidad en modelos de Machine Learning usando Azure.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Desarrolla habilidades técnicas y analíticas para profesionales en ML
Se imparte en español, lo que lo hace accesible para hispanohablantes

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Aplicando privacidad en modelos de Machine Learning with these activities:
Revisar conceptos básicos de machine learning
Refrescar los conceptos básicos de machine learning ayudará a comprender mejor los temas del curso.
Browse courses on Machine Learning
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  • Repasar los principios del machine learning
  • Revisar técnicas comunes de ML, como regresión y clasificación
  • Leer artículos o ver videos sobre los conceptos básicos de ML
Explorar bibliotecas y herramientas de Azure
Familiarízate con las herramientas y bibliotecas de Azure para comprender cómo se utilizan en la preservación de la privacidad.
Browse courses on Azure Machine Learning
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  • Seguir tutoriales oficiales de Microsoft Azure para Azure Machine Learning
  • Explorar la documentación de las bibliotecas de ML de Azure (por ejemplo, AzureML, ML.NET)
  • Experimentar con pequeños proyectos o ejemplos de código para practicar el uso de estas herramientas
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Career center

Learners who complete Aplicando privacidad en modelos de Machine Learning will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine learning engineers are responsible for designing, building, and deploying machine learning models. They work closely with data scientists to understand the business problem that needs to be solved, and then they develop and implement the machine learning solution. This course can help you develop the skills you need to become a machine learning engineer, including how to use Azure to protect the privacy of your data and models.
Data Scientist
Machine learning is a subset of artificial intelligence (AI), and data scientists play a vital role in developing and implementing AI solutions. They use their expertise in statistics, programming, and machine learning to build models that can learn from data and make predictions. This course can help you develop the skills you need to become a data scientist, including how to use Azure to protect the privacy of your data and models.
Business Intelligence Analyst
Business intelligence analysts use their skills in data analysis, visualization, and communication to help businesses make better decisions. They analyze data to identify trends and patterns, and then they develop and communicate insights that can help businesses improve their performance. This course can help you develop the skills you need to become a business intelligence analyst, including how to use Azure to protect the privacy of your data.
Data Analyst
Data analysts use their skills in statistics, programming, and data visualization to analyze data and identify trends and patterns. They also develop and implement data-driven solutions to business problems. This course can help you develop the skills you need to become a data analyst, including how to use Azure to protect the privacy of your data.
Risk Manager
Risk managers are responsible for identifying, assessing, and managing risks. They work with businesses to develop and implement risk management plans. This course can help you develop the skills you need to become a risk manager, including how to use Azure to protect the privacy of your organization's data.
Auditor
Auditors are responsible for examining and evaluating financial records. They work with businesses to ensure that their financial statements are accurate and comply with all applicable laws and regulations. This course can help you develop the skills you need to become an auditor, including how to use Azure to protect the privacy of your organization's data.
Compliance Officer
Compliance officers are responsible for ensuring that their organizations comply with all applicable laws and regulations. They work with businesses to develop and implement compliance policies and procedures. This course can help you develop the skills you need to become a compliance officer, including how to use Azure to protect the privacy of your organization's data.
Data Protection Officer
Data protection officers are responsible for developing and implementing data protection policies and procedures. They work with businesses to ensure that their data is protected from unauthorized access, use, or disclosure. This course can help you develop the skills you need to become a data protection officer, including how to use Azure to protect the privacy of your data.
Cybersecurity Analyst
Cybersecurity analysts are responsible for investigating and responding to cyberattacks. They work with businesses to develop and implement cybersecurity policies and procedures. This course can help you develop the skills you need to become a cybersecurity analyst, including how to use Azure to protect the privacy of your organization's data.
Privacy Lawyer
Privacy lawyers advise businesses on how to comply with privacy laws and regulations. They also represent clients in privacy-related litigation. This course can help you develop the skills you need to become a privacy lawyer, including how to use Azure to protect the privacy of your clients' data.
Project Manager
Project managers are responsible for planning, executing, and controlling projects. They work with stakeholders to define the project scope, budget, and timeline. This course can help you develop the skills you need to become a project manager, including how to use Azure to protect the privacy of your project data.
Forensic Analyst
Forensic analysts are responsible for investigating and analyzing cybercrimes. They work with law enforcement and businesses to collect and analyze evidence. This course can help you develop the skills you need to become a forensic analyst, including how to use Azure to protect the privacy of your organization's data.
Software Engineer
Software engineers design, develop, and maintain software applications. They use their skills in programming, data structures, and algorithms to create software that meets the needs of users. This course can help you develop the skills you need to become a software engineer, including how to use Azure to protect the privacy of your data and applications.
Information Security Analyst
Information security analysts are responsible for protecting their organizations from cyberattacks. They work with businesses to develop and implement information security policies and procedures. This course can help you develop the skills you need to become an information security analyst, including how to use Azure to protect the privacy of your organization's data.
Product Manager
Product managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to define the product vision, roadmap, and features. This course can help you develop the skills you need to become a product manager, including how to use Azure to protect the privacy of your users.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Aplicando privacidad en modelos de Machine Learning.
Este libro ofrece una visión general de las técnicas de preservación de la privacidad en el aprendizaje automático, cubriendo temas como el aprendizaje federado y la criptografía segura. Proporciona información complementaria a las técnicas prácticas enseñadas en el curso.
Este libro de texto clásico proporciona una base sólida en los conceptos estadísticos subyacentes al aprendizaje automático. Complementa el enfoque práctico del curso con una comprensión teórica más profunda.
Este libro proporciona una guía práctica para implementar modelos de aprendizaje automático con bibliotecas populares. Complementa las prácticas del curso con ejemplos y soluciones paso a paso, lo que lo hace adecuado para el desarrollo práctico.
Este libro ofrece una introducción accesible al aprendizaje automático. Proporciona una base para aquellos sin experiencia previa en el campo y complementa las lecciones del curso sobre los conceptos fundamentales.
Este libro se centra en el aprendizaje profundo, que es un subcampo del aprendizaje automático. Proporciona una exploración práctica de los enfoques de aprendizaje profundo y complementa las lecciones del curso sobre técnicas avanzadas.
Este libro ofrece una visión general de las leyes y regulaciones de privacidad de datos. Proporciona información valiosa sobre el panorama legal en el que operan las prácticas de privacidad del aprendizaje automático.
Este libro adopta un enfoque probabilístico del aprendizaje automático. Proporciona una perspectiva teórica que complementa el enfoque práctico del curso y amplía la comprensión de los modelos basados en probabilidad.

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