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Haciendo modelos con ML.NET
Nestor Nicolas Campos Rojas
Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, aprenderás a desarrollar un modelo de Machine Learning usando ML.NET.
Además, aprenderás a simplificar la creación inicial de aplicaciones y modelos usando ML.NET Model Builder.
Register for this course and see more details by visiting:
OpenCourser.com/course/ov15lv/haciendo
What's inside
Syllabus
Haciendo modelos con ML.NET
Al final de este proyecto, tú podrías crear e integrar tus propios modelos de Machine Learning en aplicaciones construidas con C#, a partir de la librería ML.NET
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops hands-on skills in using and integrating Machine Learning models in C# applications using ML.NET's built-in tools
Strengthens learners' knowledge of Machine Learning concepts and practices within the context of C# development
Suitable for learners with foundational knowledge in C# programming and an interest in incorporating Machine Learning into their C# projects
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Activities
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We're preparing activities for
Haciendo modelos con ML.NET.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Haciendo modelos con ML.NET will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their programming skills to design, build, and implement machine learning algorithms. By taking this course, you can build a foundation of knowledge in machine learning. This will help lead to your success as a Machine Learning Engineer.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers use their skills in machine learning, statistics, and programming to research and develop new machine learning algorithms. This course can help you get started in a role as a Machine Learning Researcher by providing you with a foundation in machine learning.
Data Scientist
Data Scientist
Data Scientists use their knowledge of machine learning, statistics, and programming to analyze data and extract insights. This course can help you get started in a role as a Data Scientist by providing you with a foundation in machine learning.
Project Manager
Project Manager
Project Managers use their skills in project management, business analysis, and programming to manage projects. This course can help you get started in a role as a Project Manager by providing you with a foundation in machine learning. This can be helpful for managing projects that use machine learning.
Product Manager
Product Manager
Product Managers use their skills in product management, business analysis, and programming to develop and manage products. This course can help you get started in a role as a Product Manager by providing you with a foundation in machine learning. This can be helpful for developing products that use machine learning.
Data Engineer
Data Engineer
Data Engineers use their skills in data engineering, data analysis, and programming to design, build, and implement data pipelines. This course can help you get started in a role as a Data Engineer by providing you with a foundation in machine learning. This can be helpful for developing data pipelines that use machine learning techniques.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their skills in mathematics, statistics, and programming to analyze data and develop financial models. This course can help you get started in a role as a Quantitative Analyst by providing you with a foundation in machine learning. This can be helpful for developing financial models using machine learning techniques.
Data Analyst
Data Analyst
Data Analysts use their skills in data analysis, statistics, and programming to analyze data and extract insights. This course can help you get started in a role as a Data Analyst by providing you with a foundation in machine learning. This can be helpful for analyzing data using machine learning techniques.
Business Analyst
Business Analyst
Business Analysts use their skills in business analysis, data analysis, and programming to analyze business processes and develop solutions. This course can help you get started in a role as a Business Analyst by providing you with a foundation in machine learning. This can be helpful for analyzing business processes using machine learning techniques.
Software Engineer
Software Engineer
Software Engineers use their programming skills to design, build, and implement software applications. This course can help you get started in a role as a Software Engineer by providing you with a foundation in machine learning. This can be helpful for developing software applications that use machine learning.
For more career information including salaries, visit:
OpenCourser.com/course/ov15lv/haciendo
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
Haciendo modelos con ML.NET.
Este libro es un texto clásico sobre machine learning. Cubre una amplia gama de temas, desde los conceptos básicos hasta los algoritmos avanzados.
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Este libro es una guía completa para el deep learning. Cubre los conceptos básicos, los algoritmos y las aplicaciones.
Este libro proporciona una base sólida en los fundamentos teóricos del machine learning. Cubre temas como el modelado bayesiano y la optimización.
Este libro es una guía completa para el machine learning con Python. Cubre una amplia gama de temas, desde los conceptos básicos hasta los algoritmos avanzados.
Este libro es una guía completa para el machine learning con Keras. Cubre una amplia gama de temas, desde los conceptos básicos hasta los algoritmos avanzados.
Este libro es un tutorial práctico que enseña machine learning con las bibliotecas Scikit-Learn, Keras y TensorFlow.
Este libro es una guía completa para el machine learning con big data. Cubre una amplia gama de temas, desde los conceptos básicos hasta los algoritmos avanzados.
Este libro es una guía práctica para el machine learning con R. Cubre una amplia gama de temas, desde los conceptos básicos hasta los algoritmos avanzados.
Este libro es una guía práctica para el machine learning con Python. Cubre una amplia gama de temas, desde los conceptos básicos hasta los algoritmos avanzados.
Aunque este libro se centra en Python, brinda una base sólida en los principios y algoritmos de aprendizaje automático, lo que es beneficioso para los estudiantes de ML.NET que buscan una comprensión más profunda.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ov15lv/haciendo
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Panes para desayunar
OpenCourser.com/course/seqmtd/panes
Panes para desayunar
Effort
1 hora
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Develops hands-on skills in using and integrating Machine Learning models in C# applications using ML.NET's built-in tools
Strengthens learners' knowledge of Machine Learning concepts and practices within the context of C# development
Suitable for learners with foundational knowledge in C# programming and an interest in incorporating Machine Learning into their C# projects
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