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Entendiendo un proceso de MLOps con Azure Databricks
Nestor Nicolas Campos Rojas
Nestor Nicolas Campos Rojas
En este proyecto, vamos a comprender el concepto de MLOps y su función dentro de un proceso de Data Science, enfocado con la herramienta de Azure Databricks.
Register for this course and see more details by visiting:
OpenCourser.com/course/rb2egg/entendiendo
What's inside
Syllabus
Visión general del proyecto
En este proyecto, vamos a comprender el concepto de MLOps y su función dentro de un proceso de Data Science, enfocado con la herramienta de Azure Databricks.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Se presenta de manera muy clara y completa
Tiene una descripción precisa y detallada
Cuenta con un plan de estudios estructurado
Es impartido por instructores acreditados
Tiene una visión global sobre MLOps
Incluye un enfoque práctico con Azure Databricks
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Activities
Coming soon
We're preparing activities for
Entendiendo un proceso de MLOps con Azure Databricks.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Entendiendo un proceso de MLOps con Azure Databricks will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. Azure Databricks provides a collaborative environment for model creation and deployment. This course can help build a foundation in MLOps, which is an essential skill in this career role.
Data Engineer
Data Engineer
Data Engineers design, construct, deploy, and maintain big data systems that analyze large amounts of data in order to extract meaningful information. Azure Databricks helps build a foundation for Data Engineering with its highly scalable and unified data platform. This course can provide the context and background necessary to start in this career role.
Data Scientist
Data Scientist
Data Scientists collect, analyze, and interpret large amounts of data to identify patterns and trends, which leads to valuable insights. Azure Databricks helps build a foundation for Data Science with its ability to handle a variety of data formats and its interactive workspace. This course can help build a foundation in MLOps, which is an essential skill in this career role.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. Azure Databricks provides a collaborative environment for data analysis and visualization. This course can help build a foundation in MLOps, which can enhance the ability to analyze data and identify trends.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts interpret data and turn it into actionable insights that help businesses make strategic decisions. Azure Databricks provides a collaborative environment for data analysis and visualization. This course may be helpful in providing context around MLOps, which can help make data analysis more efficient.
Database Administrator
Database Administrator
Database Administrators ensure that databases are running smoothly and efficiently. Azure Databricks provides a cloud-based data warehousing solution. This course may be helpful in providing context around MLOps, which can help ensure that data is properly managed and stored.
Data Architect
Data Architect
Data Architects design and manage data systems to meet the needs of an organization. Azure Databricks provides a unified data platform that can help build a foundation for Data Architecture. This course can provide the context and background necessary to be successful in this career role.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help organizations make informed decisions. Azure Databricks provides a powerful platform for statistical analysis and data visualization. This course may be helpful in providing context around MLOps, which can help enhance statistical analysis and data interpretation.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Azure Databricks provides a platform for building and deploying big data applications. This course may be helpful in providing context around MLOps, which can help make software development more efficient.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. Azure Databricks provides a powerful platform for data analysis and visualization. This course may be helpful in providing context around MLOps, which can help enhance data analysis and make more informed investment decisions.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to help businesses make informed decisions. Azure Databricks provides a powerful platform for data analysis and visualization. This course may be helpful in providing context around MLOps, which can help enhance data analysis and make more informed financial decisions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. Azure Databricks provides a powerful platform for data analysis and optimization. This course may be helpful in providing context around MLOps, which can help analyze data and make more informed decisions.
Risk Analyst
Risk Analyst
Risk Analysts analyze data to identify and assess risks. Azure Databricks provides a powerful platform for data analysis and visualization. This course may be helpful in providing context around MLOps, which can help enhance data analysis and make more informed risk assessments.
Actuary
Actuary
Actuaries analyze data to assess risk and uncertainty. Azure Databricks provides a powerful platform for data analysis and visualization. This course may be helpful in providing context around MLOps, which can help enhance data analysis and make more informed actuarial assessments.
Auditor
Auditor
Auditors examine financial records to ensure accuracy and compliance. Azure Databricks provides a platform for data analysis and visualization. This course may be helpful in providing context around MLOps, which can help enhance data analysis and make more informed audit assessments.
For more career information including salaries, visit:
OpenCourser.com/course/rb2egg/entendiendo
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
Entendiendo un proceso de MLOps con Azure Databricks.
Este libro ofrece una introducción práctica al aprendizaje automático utilizando Python, que cubre el flujo de trabajo de ciencia de datos, los algoritmos de aprendizaje automático y las técnicas de evaluación. Es un recurso excelente para los programadores que buscan comenzar con el aprendizaje automático.
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Este libro proporciona una descripción general de los algoritmos de aprendizaje automático más comunes, que cubre sus principios, fortalezas y limitaciones. Es un recurso valioso para los principiantes que buscan comprender los fundamentos de los algoritmos de aprendizaje automático.
Este libro proporciona una guía práctica para utilizar R para proyectos de aprendizaje automático, que cubre la preparación de datos, el modelado y la evaluación. Es un recurso valioso para los profesionales de datos y los programadores de R que buscan utilizar R para sus flujos de trabajo de aprendizaje automático.
Este libro proporciona una introducción accesible a la ciencia de datos, que cubre el análisis de datos, la visualización de datos y las técnicas de predicción. Es un recurso valioso para los principiantes que buscan comprender los conceptos fundamentales de la ciencia de datos.
Este libro ofrece una introducción práctica al aprendizaje profundo, que cubre los fundamentos del aprendizaje profundo, la programación de redes neuronales y las aplicaciones del mundo real. Es un recurso excelente para los programadores que buscan comenzar con el aprendizaje profundo.
Este libro proporciona una introducción completa al aprendizaje automático automatizado (AutoML), que cubre los métodos, algoritmos y aplicaciones. Es un recurso invaluable para los investigadores y profesionales de aprendizaje automático que buscan automatizar sus flujos de trabajo de aprendizaje automático.
Este libro proporciona una base teórica sólida en el aprendizaje automático, que cubre la teoría de la decisión bayesiana, la optimización y los modelos probabilísticos. Es un recurso invaluable para los investigadores y profesionales del aprendizaje automático que buscan profundizar su comprensión de los fundamentos teóricos.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rb2egg/entendiendo
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Effort
1 hora de trabajo
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Se presenta de manera muy clara y completa
Tiene una descripción precisa y detallada
Cuenta con un plan de estudios estructurado
Es impartido por instructores acreditados
Tiene una visión global sobre MLOps
Incluye un enfoque práctico con Azure Databricks
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