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Leire Ahedo
Este proyecto es un proyecto práctico para aprender a crear modelos de ML con Azure Machine Learning Studio. Aprenderás todos los pasos para el desarrollo de un modelo de regresión y su despliegue en producción.
No necesitaras conocimientos previos pues comenzarás desde lo más básico, como conocer el entorno de Azure o los fundamentos de ML, para llegar a lo más avanzado.
Register for this course and see more details by visiting:
OpenCourser.com/course/jtlxcm/machine
What's inside
Syllabus
Machine Learning con Azure Machine Learning Studio
En este curso se aprenderá a generar modelos de Machine Learning con Azure Machine Learning Studio
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Diseñado para principiantes en Machine Learning
Enseña los fundamentos de Azure Machine Learning Studio
No requiere conocimientos previos
Tiene un enfoque práctico con proyectos para generar modelos de ML
Cubre el proceso de desarrollo del modelo de regresión y su implementación
Save this course
Save Machine Learning con Azure Machine Learning Studio to your list so you can find it easily later:
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Reviews summary
Azure machine learning studio ml projects course
Based on a limited sample of reviews, this seems to teach the basics of Azure but there does seem to be issues in deployment.
Deployment issues have been mentioned
"falta el despliegue "
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 Machine Learning con Azure Machine Learning Studio with these
activities:
Revise Python and R
Show steps
Update your Python and R skills to set a strong foundation for this course.
Browse courses on
Python
Show steps
-
Review Python syntax and data structures
-
Practice writing Python functions and scripts
-
Review R basics, including data manipulation and visualization
-
Practice using R packages for statistical analysis
Connect with Machine Learning Experts
Show steps
Expand your knowledge and gain insights by connecting with experienced professionals in the field.
Browse courses on
Mentorship
Show steps
-
Identify potential mentors through online platforms or professional organizations
-
Reach out to mentors and request guidance
-
Schedule meetings or virtual sessions to connect with mentors
Follow Azure Machine Learning Studio Tutorials
Show steps
Supplement your understanding of Azure Machine Learning Studio by following guided tutorials.
Browse courses on
Azure Machine Learning Studio
Show steps
-
Complete the Azure Machine Learning Studio Quickstart tutorial
-
Follow a tutorial on creating a machine learning model in Azure Machine Learning Studio
-
Explore additional tutorials to enhance your skills
Five other activities
Expand to see all activities and additional details
Show all eight activities
Summarize Key Course Concepts
Show steps
Reinforce your learning by regularly reviewing and summarizing key concepts.
Browse courses on
Note taking
Show steps
-
Take notes during class lectures and study sessions
-
Review your notes and identify key concepts
-
Summarize the key concepts in your own words
Build a Simple Regression Model
Show steps
Reinforce your understanding of regression models by creating one from scratch.
Browse courses on
Regression Modeling
Show steps
-
Choose a dataset and define the problem statement
-
Prepare the data and select features
-
Train and evaluate a regression model
-
Interpret the model results and make predictions
Solve Machine Learning Practice Problems
Show steps
Solidify your understanding of machine learning algorithms by solving practice problems.
Browse courses on
Machine Learning Algorithms
Show steps
-
Find practice problems online or in textbooks
-
Attempt to solve the problems independently
-
Review your solutions and identify areas for improvement
Present Your Machine Learning Project
Show steps
Enhance your communication and presentation skills by sharing your machine learning project.
Browse courses on
Communication Skills
Show steps
-
Prepare a clear and concise presentation outlining your project
-
Practice delivering your presentation to receive feedback
-
Present your project to an audience of peers or instructors
Participate in Machine Learning Challenges
Show steps
Test your skills and gain practical experience by participating in machine learning challenges.
Show steps
-
Identify relevant machine learning competitions
-
Form a team or work independently on the challenge
-
Develop and implement a machine learning solution
-
Submit your solution and receive feedback
Revise Python and R
Show steps
Update your Python and R skills to set a strong foundation for this course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review Python syntax and data structures
- Practice writing Python functions and scripts
- Review R basics, including data manipulation and visualization
- Practice using R packages for statistical analysis
Connect with Machine Learning Experts
Show steps
Expand your knowledge and gain insights by connecting with experienced professionals in the field.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify potential mentors through online platforms or professional organizations
- Reach out to mentors and request guidance
- Schedule meetings or virtual sessions to connect with mentors
Follow Azure Machine Learning Studio Tutorials
Show steps
Supplement your understanding of Azure Machine Learning Studio by following guided tutorials.
Browse courses on
Azure Machine Learning Studio
Show steps
Show steps
Show steps
- Complete the Azure Machine Learning Studio Quickstart tutorial
- Follow a tutorial on creating a machine learning model in Azure Machine Learning Studio
- Explore additional tutorials to enhance your skills
Five other activities
Expand to see all activities and additional details
Show all eight activities
Summarize Key Course Concepts
Show steps
Reinforce your learning by regularly reviewing and summarizing key concepts.
Browse courses on
Note taking
Show steps
Show steps
Show steps
- Take notes during class lectures and study sessions
- Review your notes and identify key concepts
- Summarize the key concepts in your own words
Build a Simple Regression Model
Show steps
Reinforce your understanding of regression models by creating one from scratch.
Browse courses on
Regression Modeling
Show steps
Show steps
Show steps
- Choose a dataset and define the problem statement
- Prepare the data and select features
- Train and evaluate a regression model
- Interpret the model results and make predictions
Solve Machine Learning Practice Problems
Show steps
Solidify your understanding of machine learning algorithms by solving practice problems.
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks
- Attempt to solve the problems independently
- Review your solutions and identify areas for improvement
Present Your Machine Learning Project
Show steps
Enhance your communication and presentation skills by sharing your machine learning project.
Browse courses on
Communication Skills
Show steps
Show steps
Show steps
- Prepare a clear and concise presentation outlining your project
- Practice delivering your presentation to receive feedback
- Present your project to an audience of peers or instructors
Participate in Machine Learning Challenges
Show steps
Test your skills and gain practical experience by participating in machine learning challenges.
Show steps
Show steps
Show steps
- Identify relevant machine learning competitions
- Form a team or work independently on the challenge
- Develop and implement a machine learning solution
- Submit your solution and receive feedback
Career center
Learners who complete Machine Learning con Azure Machine Learning Studio will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, mathematics, and computer science to extract insights from data. This course can help build a foundation for a career as a Data Scientist by providing an introduction to Machine Learning concepts and Azure Machine Learning Studio.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain Machine Learning systems. This course can help build a foundation for a career as a Machine Learning Engineer by providing an introduction to Machine Learning concepts and Azure Machine Learning Studio.
Data Analyst
Data Analyst
Data Analysts analyze data to uncover trends and patterns. This course can help build a foundation for a career as a Data Analyst by providing an introduction to Machine Learning concepts and Azure Machine Learning Studio, which can be used to analyze data.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course can help build a foundation for a career as a Statistician by providing an introduction to Machine Learning concepts, which can be used to analyze data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help build a foundation for a career as a Software Engineer by providing an introduction to Machine Learning concepts, which are increasingly being used in software development.
Market Researcher
Market Researcher
Market Researchers analyze market data to identify trends and opportunities. This course can help build a foundation for a career as a Market Researcher by providing an introduction to Machine Learning concepts, which can be used to analyze market data.
Business Analyst
Business Analyst
Business Analysts use data to analyze business needs and develop solutions. This course can help build a foundation for a career as a Business Analyst by providing an introduction to Machine Learning concepts, which can be used to analyze business data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to optimize business processes. This course can help build a foundation for a career as an Operations Research Analyst by providing an introduction to Machine Learning concepts, which can be used to optimize business processes.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks to businesses. This course can help build a foundation for a career as a Risk Analyst by providing an introduction to Machine Learning concepts, which can be used to identify and assess risks.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help build a foundation for a career as a Quantitative Analyst by providing an introduction to Machine Learning concepts, which can be used to analyze financial data.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. This course can help build a foundation for a career as a Data Engineer by providing an introduction to Machine Learning concepts, which can be used to develop and maintain data systems.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course may help build a foundation for a career as a Database Administrator by providing an introduction to Machine Learning concepts, which can be used to manage and maintain databases.
IT Manager
IT Manager
IT Managers plan and manage information technology systems. This course may help build a foundation for a career as an IT Manager by providing an introduction to Machine Learning concepts, which can be used to manage and optimize IT systems.
Product Manager
Product Manager
Product Managers plan, develop, and launch products. This course may help build a foundation for a career as a Product Manager by providing an introduction to Machine Learning concepts, which can be used to develop and launch products.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may help build a foundation for a career as a Project Manager by providing an introduction to Machine Learning concepts, which can be used to manage and optimize projects.
For more career information including salaries, visit:
OpenCourser.com/course/jtlxcm/machine
Reading list
We've selected ten 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
Machine Learning con Azure Machine Learning Studio.
Save
Este libro presenta una perspectiva bayesiana y de optimización sobre el aprendizaje automático, ofreciendo una base teórica más profunda. Es una lectura avanzada adecuada para aquellos que desean profundizar en los fundamentos matemáticos del ML.
Este libro proporciona una guía completa para el aprendizaje automático con Python, cubriendo las bibliotecas y técnicas esenciales. Ofrece un equilibrio entre teoría y práctica, lo que lo convierte en un recurso valioso tanto para estudiantes como para profesionales.
Este libro proporciona una descripción general completa de los algoritmos de aprendizaje automático, cubriendo una amplia gama de técnicas y su aplicación en diferentes dominios. Sirve como un recurso de referencia para ampliar la comprensión de los algoritmos centrales.
Este libro utiliza R, un lenguaje de programación popular en el campo del aprendizaje automático, para brindar una introducción práctica al tema. Cubre los conceptos esenciales, las técnicas y los algoritmos, lo que lo convierte en un recurso valioso para los estudiantes que desean obtener experiencia práctica en el aprendizaje automático.
Este libro ofrece una base sólida en Python para el aprendizaje automático, brindando habilidades prácticas para aplicar algoritmos de ML a problemas del mundo real. Proporciona una base útil para el curso, especialmente para aquellos con un conocimiento limitado de Python.
Aunque el curso no cubre específicamente los macrodatos, este libro proporciona información sobre los desafíos y técnicas para trabajar con grandes conjuntos de datos en el aprendizaje automático. Es una lectura valiosa para aquellos interesados en ampliar su comprensión del ML en entornos de macrodatos.
Este libro presenta los conceptos de aprendizaje automático de una manera clara y accesible para principiantes. Es valioso como material introductorio para comprender los fundamentos del ML y su relevancia en el curso.
Si bien el curso no se centra en aplicaciones financieras, este libro explora el aprendizaje automático para las finanzas. Proporciona información sobre técnicas y aplicaciones específicas de la industria, lo que amplía el alcance del curso para aquellos interesados en este dominio.
Aunque este libro cubre el aprendizaje profundo, proporciona información valiosa sobre las redes neuronales y el aprendizaje por refuerzo, técnicas relevantes para el aprendizaje automático cubiertas en el curso.
Este libro presenta el aprendizaje automático desde una perspectiva práctica, centrándose en la aplicación utilizando Python. Es adecuado para principiantes que buscan una introducción fácil de entender a los conceptos básicos cubiertos en el curso.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jtlxcm/machine
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Effort
2 horas
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Language
Español
Good to know
Diseñado para principiantes en Machine Learning
Enseña los fundamentos de Azure Machine Learning Studio
No requiere conocimientos previos
Tiene un enfoque práctico con proyectos para generar modelos de ML
Cubre el proceso de desarrollo del modelo de regresión y su implementación
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