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Leire Ahedo
Este proyecto es un curso completo y aplicado para aprender a generar aplicaciones de Machine Learning con Spark MLlib en el entorno de Azure Synapse Analytics.
Realizarás un proyecto práctico, para desarrollar tu propia aplicación de machine learning. Para ello aprenderás todo el proceso de desarrollo, desde el análisis de datos hasta la configuración del modelo y su despliegue.
Azure Synapse Analytics es uno de los entornos más prometedores para el Big Data y en este curso conocerás todo su potencial junto a Spark MLlib.
Register for this course and see more details by visiting:
OpenCourser.com/course/81j77u/crea
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possible dealbreakers
Provides a comprehensive learning experience for building machine learning applications using Spark MLlib in the Azure Synapse Analytics environment
Suitable for individuals pursuing roles that require proficiency in Azure Synapse Analytics and Spark MLlib
Taught by industry experts, ensuring the curriculum aligns with current best practices and real-world applications
May require prior knowledge of data analysis, machine learning, and cloud computing concepts for optimal comprehension
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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 Crea un app de Machine Learning con Spark, Synapse Analytics with these
activities:
Practice writing Python code to refresh skills
Show steps
Completing this activity will refresh your knowledge of Python syntax and concepts to ensure that you can hit the ground running as we start the course.
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Review the Python tutorial
-
Complete practice problems and exercises
-
Work on personal projects
Follow tutorials to learn about Spark MLlib
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These tutorials will help you learn the basics of Spark MLlib. This will allow you to follow along with the lectures more effectively and start working on your own projects sooner.
Browse courses on
Spark MLlib
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-
Find tutorials on Spark MLlib
-
Follow the tutorials
-
Complete the exercises
Complete coding exercises and challenges
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These exercises and challenges will help you practice the skills you are learning and identify areas where you need more practice.
Browse courses on
Spark MLlib
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-
Find coding exercises and challenges
-
Attempt to solve the exercises and challenges
-
Review your solutions and identify areas for improvement
Show all three activities
Practice writing Python code to refresh skills
Show steps
Completing this activity will refresh your knowledge of Python syntax and concepts to ensure that you can hit the ground running as we start the course.
Show steps
Show steps
Show steps
- Review the Python tutorial
- Complete practice problems and exercises
- Work on personal projects
Follow tutorials to learn about Spark MLlib
Show steps
These tutorials will help you learn the basics of Spark MLlib. This will allow you to follow along with the lectures more effectively and start working on your own projects sooner.
Browse courses on
Spark MLlib
Show steps
Show steps
Show steps
- Find tutorials on Spark MLlib
- Follow the tutorials
- Complete the exercises
Complete coding exercises and challenges
Show steps
These exercises and challenges will help you practice the skills you are learning and identify areas where you need more practice.
Browse courses on
Spark MLlib
Show steps
Show steps
Show steps
- Find coding exercises and challenges
- Attempt to solve the exercises and challenges
- Review your solutions and identify areas for improvement
Show all three activities
Career center
Learners who complete Crea un app de Machine Learning con Spark, Synapse Analytics will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning systems. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides hands-on experience in developing and deploying machine learning models using industry-standard tools. By completing this course, learners can build a strong foundation for a successful career as a Machine Learning Engineer.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to extract meaningful insights. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation for understanding how to develop and deploy machine learning models, which is a key skill for Data Scientists. By learning how to use these tools, learners can gain the expertise needed to succeed in this in-demand field.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Quantitative Analysts. By learning how to use these tools, learners can enhance their ability to analyze data and make more informed investment decisions.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess risk and uncertainty. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Actuaries. By learning how to use these tools, learners can enhance their ability to analyze data and assess risk and uncertainty more accurately.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve business problems. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Operations Research Analysts. By learning how to use these tools, learners can enhance their ability to analyze data and make more informed decisions.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment decisions. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Financial Analysts. By learning how to use these tools, learners can enhance their ability to analyze financial data and make more informed investment decisions.
Data Architect
Data Architect
Data Architects design and manage data systems. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Data Architects. By learning how to use these tools, learners can enhance their ability to design and manage data systems that can handle the increasing volume and complexity of data.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Data Analysts. By learning how to use these tools, learners can enhance their ability to analyze data and extract meaningful insights, making them more valuable to potential employers.
Risk Manager
Risk Manager
Risk Managers identify and manage risks. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Risk Managers. By learning how to use these tools, learners can enhance their ability to analyze data and identify and manage risks more effectively.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a strong foundation in machine learning, which is becoming increasingly important for Software Engineers. By learning how to use these tools, learners can expand their skillset and increase their marketability in the competitive tech industry.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Business Analysts. By learning how to use these tools, learners can enhance their ability to analyze data and extract meaningful insights, making them more valuable to potential employers.
Market Researcher
Market Researcher
Market Researchers conduct research to understand consumer behavior. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Market Researchers. By learning how to use these tools, learners can enhance their ability to collect and analyze data to gain insights into consumer behavior.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing systems. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Cloud Engineers. By learning how to use these tools, learners can enhance their ability to design and manage cloud computing systems that can handle the increasing volume and complexity of data.
DevOps Engineer
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for DevOps Engineers. By learning how to use these tools, learners can enhance their ability to automate and manage the deployment of machine learning models.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course in Machine Learning with Spark MLlib and Azure Synapse Analytics provides a solid foundation in machine learning, which is becoming increasingly important for Product Managers. By learning how to use these tools, learners can enhance their ability to understand the technical aspects of product development and make better decisions about product features.
For more career information including salaries, visit:
OpenCourser.com/course/81j77u/crea
Reading list
We've selected eight 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
Crea un app de Machine Learning con Spark, Synapse Analytics.
Save
Comprehensive guide to deep learning. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning.
Comprehensive guide to statistical learning. It covers a wide range of topics, including data exploration, data analysis, and machine learning. It valuable resource for anyone who wants to learn more about statistical learning.
Comprehensive guide to deep learning using Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn how to use Python to build effective deep learning models.
Practical guide to machine learning. It covers a wide range of topics, including data preparation, model selection, and hyperparameter tuning. It valuable resource for anyone who wants to learn how to use machine learning to solve real-world problems.
Practical guide to machine learning for hackers. It covers a wide range of topics, including data preparation, model selection, and hyperparameter tuning. It valuable resource for anyone who wants to learn how to use machine learning to build effective software.
Comprehensive guide to machine learning using Python. It covers a wide range of topics, including data preparation, model selection, and hyperparameter tuning. It valuable resource for anyone who wants to learn how to use Python to build effective machine learning models.
Gentle introduction to data science. It covers the basics of data science, including data exploration, data analysis, and machine learning. It valuable resource for anyone who wants to learn more about data science.
Provides a comprehensive overview of cloud computing. It covers a wide range of topics, including cloud architecture, cloud services, and cloud security. It valuable resource for anyone who wants to learn more about cloud computing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/81j77u/crea
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Time
2 hours
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Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Good to know
Provides a comprehensive learning experience for building machine learning applications using Spark MLlib in the Azure Synapse Analytics environment
Suitable for individuals pursuing roles that require proficiency in Azure Synapse Analytics and Spark MLlib
Taught by industry experts, ensuring the curriculum aligns with current best practices and real-world applications
May require prior knowledge of data analysis, machine learning, and cloud computing concepts for optimal comprehension
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