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Amber Israelsen
You’ve probably heard about how machine learning is shaping our world--from facial recognition to package delivery, speech recognition to self-driving cars. But how do you get started in this exciting field? In this course, Fundamentals of Machine Learning...
Read more
You’ve probably heard about how machine learning is shaping our world--from facial recognition to package delivery, speech recognition to self-driving cars. But how do you get started in this exciting field? In this course, Fundamentals of Machine Learning...
Read more
You’ve probably heard about how machine learning is shaping our world--from facial recognition to package delivery, speech recognition to self-driving cars. But how do you get started in this exciting field? In this course, Fundamentals of Machine Learning on AWS, you’ll learn how to solve business problems with AWS machine learning technologies. First, you’ll explore what ML is and how it relates to artificial intelligence and deep learning. Next, you’ll learn how to identify and frame opportunities for machine learning. Then, you’ll discover the end-to-end machine learning process: fetching, cleaning and preparing data, training and evaluating models, and deploying and monitoring models. Finally, you’ll learn the AWS artificial intelligence and machine learning technologies that enable this process, and see them in action with Amazon SageMaker Studio. When you’re finished with this course, you’ll have the skills and knowledge of AWS machine learning technologies needed to solve real-world problems. This course will also lay the foundation for the AWS Machine Learning Specialty certification.
Register for this course and see more details by visiting:
OpenCourser.com/course/m54xwh/fundamentals
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Teaches skills, knowledge, and tools that are highly relevant to industry
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Career center
Learners who complete Fundamentals of Machine Learning on AWS will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. Machine Learning models are used to predict outcomes, identify patterns, and automate processes. This course provides a foundational understanding of machine learning concepts, which are essential for success in this role. The course also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge will be invaluable for Machine Learning Engineers who want to work with AWS.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use machine learning algorithms and statistical techniques to analyze data and make predictions about future outcomes. This course provides a strong foundation in machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge will be helpful for Data Scientists who want to work with AWS.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Machine learning is increasingly being used to develop software applications, and Software Engineers who have a strong understanding of machine learning will be in high demand. This course provides a solid foundation in machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge will be helpful for Software Engineers who want to work with AWS.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems. They use data and analysis to make recommendations about how to improve business processes and outcomes. This course provides a foundation in machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Business Analysts who want to use machine learning to solve business problems.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data. They use data to identify trends and patterns, and to make predictions about future outcomes. This course provides a strong foundation in machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Data Analysts who want to use machine learning to analyze data.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course provides a basic understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Product Managers who want to use machine learning to develop new products.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematics and statistics to analyze financial data. They use machine learning algorithms to identify trading opportunities and to make predictions about future market movements. This course provides a foundational understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Quantitative Analysts who want to use machine learning to analyze financial data.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make investment decisions. They use data and analysis to evaluate the financial performance of companies and to make recommendations about which companies to invest in. This course provides a basic understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Financial Analysts who want to use machine learning to analyze financial data.
Market Researcher
Market Researcher
Market Researchers study consumer behavior and trends. They use data and analysis to help businesses understand their customers and to develop marketing strategies. This course provides a basic understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Market Researchers who want to use machine learning to analyze consumer behavior and trends.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. They use machine learning algorithms to optimize business processes and to improve decision-making. This course provides a foundational understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Operations Research Analysts who want to use machine learning to solve business problems.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks to businesses. They use data and analysis to evaluate the likelihood and impact of risks. This course provides a basic understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Risk Analysts who want to use machine learning to identify and assess risks.
Insurance Underwriter
Insurance Underwriter
Insurance Underwriters assess the risk of potential customers and determine whether to issue them insurance policies. They use data and analysis to evaluate the likelihood and impact of risks. This course provides a basic understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Insurance Underwriters who want to use machine learning to assess risks.
Healthcare Data Analyst
Healthcare Data Analyst
Healthcare Data Analysts collect, clean, and analyze healthcare data. They use data to identify trends and patterns, and to make predictions about future health outcomes. This course provides a strong foundation in machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Healthcare Data Analysts who want to use machine learning to analyze healthcare data.
Biostatistician
Biostatistician
Biostatisticians use statistics to analyze data in the field of biology. They use machine learning algorithms to identify patterns in biological data and to make predictions about future outcomes. This course provides a foundational understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Biostatisticians who want to use machine learning to analyze biological data.
Epidemiologist
Epidemiologist
Epidemiologists study the causes and spread of diseases. They use data and analysis to identify risk factors for diseases and to develop strategies to prevent and control diseases. This course provides a basic understanding of machine learning concepts and techniques. It also covers the AWS machine learning technologies that are used to build and deploy machine learning models. This knowledge may be helpful for Epidemiologists who want to use machine learning to study the causes and spread of diseases.
For more career information including salaries, visit:
OpenCourser.com/course/m54xwh/fundamentals
Reading list
We've selected 11 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
Fundamentals of Machine Learning on AWS.
Comprehensive guide to machine learning for predictive data analytics. It covers a wide range of topics, including data pre-processing, feature engineering, model selection, and model evaluation. It also includes numerous worked examples and case studies.
This best-selling book provides a practical guide to deep learning using Python and the Keras library. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone interested in learning about deep learning.
This practical guide takes a hands-on approach to machine learning using popular Python libraries. It offers a comprehensive coverage of the machine learning process, from data preparation to model evaluation and deployment.
This classic textbook provides a comprehensive overview of artificial intelligence, covering a wide range of topics, from machine learning to natural language processing. It valuable resource for anyone interested in this rapidly evolving field.
This practical guide provides a hands-on introduction to machine learning using Python and open-source tools. It covers a wide range of topics, from data exploration to model evaluation.
Provides a comprehensive overview of automated machine learning, which is the process of automating the machine learning pipeline. It covers a wide range of topics, including hyperparameter optimization, feature engineering, and model selection. It valuable resource for anyone interested in learning about this emerging field.
Save
This beginner-friendly book provides a solid foundation in the fundamentals of machine learning. It covers key concepts, techniques, and applications, making it a great starting point for anyone interested in exploring this field.
Save
Provides a concise introduction to machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It great resource for anyone who wants to get a quick overview of machine learning.
Save
This comprehensive reference provides a thorough overview of deep learning, covering both theoretical foundations and practical applications. It must-read for anyone interested in this rapidly evolving field.
This classic textbook provides a deep dive into probabilistic graphical models, which are essential for understanding many machine learning algorithms. It covers a wide range of topics, from basic concepts to advanced techniques.
This introductory textbook provides a comprehensive overview of reinforcement learning, a powerful technique for training agents to solve complex decision-making problems. It valuable resource for anyone interested in this emerging field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m54xwh/fundamentals
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Time
2 hours
Via
Pluralsight
Instructor
Amber Israelsen
This course belongs to a
collection
called
AWS Certified Machine Learning – Specialty (MLS-C01). It's comprised of six courses:
- Fundamentals of Machine Learning on AWS (viewing)
- Exploratory Data Analysis with AWS Machine Learning
- Modeling with AWS Machine Learning
- Implementing and Operating AWS Machine Learning Solutions
- Data Engineering with AWS Machine Learning
- Demystifying the AWS Certified Machine Learning Specialty Exam
Good to know
Teaches skills, knowledge, and tools that are highly relevant to industry
Provides a foundation for the AWS Machine Learning Specialty certification
Instructors are recognized for their work in the topic that the course teaches
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