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AWS
This course introduces you to machine learning concepts and the role data plays. We explore use cases, discuss an innovative way to build smart applications, and review the AWS frameworks and services you can use for machine learning.
Read more
This course introduces you to machine learning concepts and the role data plays. We explore use cases, discuss an innovative way to build smart applications, and review the AWS frameworks and services you can use for machine learning.
Read more
This course introduces you to machine learning concepts and the role data plays. We explore use cases, discuss an innovative way to build smart applications, and review the AWS frameworks and services you can use for machine learning.
This course introduces you to machine learning concepts and the role data plays. We explore use cases, discuss an innovative way to build smart applications, and review the AWS frameworks and services you can use for machine learning.
Register for this course and see more details by visiting:
OpenCourser.com/course/dybqv6/what
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What's inside
Syllabus
What is Machine Learning?
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces concepts and role of data in machine learning
Explores use cases to demonstrate practical applications
Discusses frameworks and services for building smart applications using AWS
Developed by AWS, the leading cloud service provider with expertise in machine learning
Provides a foundational understanding for beginners in machine learning
May require additional resources or knowledge to fully grasp concepts
Save this course
Save What is Machine Learning? to your list so you can find it easily later:
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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 What is Machine Learning? with these
activities:
Identify a mentor with experience in machine learning
Show steps
Connects students with experts who can provide guidance and support throughout their learning journey.
Browse courses on
Mentorship
Show steps
-
Attend industry events or online forums to network with professionals.
-
Reach out to potential mentors and schedule informational interviews.
Attend a machine learning workshop or conference
Show steps
Provides opportunities to learn from experts, network with other professionals, and stay up-to-date on the latest advancements in machine learning.
Show steps
-
Research upcoming machine learning events in your area.
-
Register for an event that interests you.
Read 'Machine Learning for Dummies'
Show steps
Introduces core concepts and applications of machine learning.
View
Data Analytics & Visualization All-in-One For...
on Amazon
Show steps
-
Read Chapters 1-3 to gain an overview of machine learning.
-
Work through the practice exercises to solidify your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a study group with other students in the course
Show steps
Provides opportunities to discuss concepts, share insights, and learn from peers.
Show steps
-
Reach out to classmates and form a study group.
-
Set regular meeting times to discuss course material.
Follow the AWS Getting Started with Machine Learning Tutorial
Show steps
Provides hands-on experience with AWS machine learning services.
Browse courses on
AWS Machine Learning
Show steps
-
Create an AWS account if you don't have one.
-
Follow the steps in the tutorial to build a simple machine learning model.
Solve coding challenges on LeetCode
Show steps
Improves problem-solving and coding skills in the context of machine learning.
Browse courses on
Coding Challenges
Show steps
-
Choose a problem that aligns with the concepts covered in the course.
-
Attempt to solve the problem on your own.
-
Review solutions and learn from alternative approaches.
Develop a machine learning model for a real-world problem
Show steps
Applies machine learning concepts to solve a practical problem and reinforces understanding of the full machine learning workflow.
Browse courses on
Machine Learning Projects
Show steps
-
Identify a problem that can be solved with machine learning.
-
Gather and prepare data.
-
Train and evaluate a machine learning model.
-
Deploy the model and monitor its performance.
Write a blog post about a machine learning concept
Show steps
Summarizes and reinforces understanding of key machine learning concepts by explaining them to others.
Show steps
-
Choose a concept that resonates with you.
-
Research the topic to deepen your understanding.
-
Write a clear and concise explanation of the concept.
Contribute to an open-source machine learning project
Show steps
Provides practical experience with machine learning tools and technologies while contributing to the community.
Browse courses on
Machine Learning Projects
Show steps
-
Find an open-source project that aligns with your interests.
-
Identify a small task or issue to contribute to.
-
Submit a pull request with your changes.
Identify a mentor with experience in machine learning
Show steps
Connects students with experts who can provide guidance and support throughout their learning journey.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events or online forums to network with professionals.
- Reach out to potential mentors and schedule informational interviews.
Attend a machine learning workshop or conference
Show steps
Provides opportunities to learn from experts, network with other professionals, and stay up-to-date on the latest advancements in machine learning.
Show steps
Show steps
Show steps
- Research upcoming machine learning events in your area.
- Register for an event that interests you.
Read 'Machine Learning for Dummies'
Show steps
Introduces core concepts and applications of machine learning.
View
Data Analytics & Visualization All-in-One For...
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-3 to gain an overview of machine learning.
- Work through the practice exercises to solidify your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a study group with other students in the course
Show steps
Provides opportunities to discuss concepts, share insights, and learn from peers.
Show steps
Show steps
Show steps
- Reach out to classmates and form a study group.
- Set regular meeting times to discuss course material.
Follow the AWS Getting Started with Machine Learning Tutorial
Show steps
Provides hands-on experience with AWS machine learning services.
Browse courses on
AWS Machine Learning
Show steps
Show steps
Show steps
- Create an AWS account if you don't have one.
- Follow the steps in the tutorial to build a simple machine learning model.
Solve coding challenges on LeetCode
Show steps
Improves problem-solving and coding skills in the context of machine learning.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Choose a problem that aligns with the concepts covered in the course.
- Attempt to solve the problem on your own.
- Review solutions and learn from alternative approaches.
Develop a machine learning model for a real-world problem
Show steps
Applies machine learning concepts to solve a practical problem and reinforces understanding of the full machine learning workflow.
Browse courses on
Machine Learning Projects
Show steps
Show steps
Show steps
- Identify a problem that can be solved with machine learning.
- Gather and prepare data.
- Train and evaluate a machine learning model.
- Deploy the model and monitor its performance.
Write a blog post about a machine learning concept
Show steps
Summarizes and reinforces understanding of key machine learning concepts by explaining them to others.
Show steps
Show steps
Show steps
- Choose a concept that resonates with you.
- Research the topic to deepen your understanding.
- Write a clear and concise explanation of the concept.
Contribute to an open-source machine learning project
Show steps
Provides practical experience with machine learning tools and technologies while contributing to the community.
Browse courses on
Machine Learning Projects
Show steps
Show steps
Show steps
- Find an open-source project that aligns with your interests.
- Identify a small task or issue to contribute to.
- Submit a pull request with your changes.
Career center
Learners who complete What is Machine Learning? will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you'll design, develop, deploy, and maintain machine learning models. You'll use your knowledge of machine learning algorithms, data analysis techniques, and cloud computing to build models that can solve real-world problems. Courses like What is Machine Learning? can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Machine Learning Architect
Machine Learning Architect
As a Machine Learning Architect, you'll design and implement machine learning solutions for businesses. You'll use your knowledge of machine learning algorithms, data analysis techniques, and cloud computing to build solutions that can solve real-world problems. Courses like What is Machine Learning? can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Data Scientist
Data Scientist
As a Data Scientist, you'll use your knowledge of machine learning, statistics, and data analysis to extract insights from data. You'll use these insights to solve real-world problems, such as predicting customer churn, identifying fraud, and optimizing marketing campaigns. Courses like What is Machine Learning? can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Data Analyst
Data Analyst
As a Data Analyst, you'll use your knowledge of data analysis techniques to identify trends and patterns in data. You'll use these insights to make recommendations to businesses on how to improve their operations. Courses like What is Machine Learning? can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Software Engineer
Software Engineer
As a Software Engineer, you'll design, develop, and implement software applications. You'll use your knowledge of programming languages, data structures, and algorithms to build applications that meet the needs of users. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Data Engineer
Data Engineer
As a Data Engineer, you'll design and implement data pipelines. You'll use your knowledge of data engineering tools and techniques to build pipelines that can collect, clean, and transform data. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Writer
Writer
As a Writer, you'll write articles, blog posts, and other content. You'll use your knowledge of writing techniques to create content that is clear, concise, and engaging. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Salesperson
Salesperson
As a Salesperson, you'll sell products or services to customers. You'll use your knowledge of sales techniques to persuade customers to buy your products or services. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Marketer
Marketer
As a Marketer, you'll develop and execute marketing campaigns. You'll use your knowledge of marketing techniques to attract and retain customers. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Consultant
Consultant
As a Consultant, you'll provide advice and guidance to businesses on a variety of topics. You'll use your knowledge of business and technology to help businesses achieve their goals. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Business Analyst
Business Analyst
As a Business Analyst, you'll analyze business processes and identify opportunities for improvement. You'll use your knowledge of business analysis techniques to develop solutions that can help businesses achieve their goals. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Product Manager
Product Manager
As a Product Manager, you'll define the vision for a product and work with engineers and designers to bring it to life. You'll use your knowledge of product management techniques to develop products that meet the needs of users. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Project Manager
Project Manager
As a Project Manager, you'll plan and execute projects. You'll use your knowledge of project management techniques to keep projects on track and budget. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Teacher
Teacher
As a Teacher, you'll teach students about a variety of subjects. You'll use your knowledge of teaching methods to create lessons that are engaging and informative. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
Researcher
Researcher
As a Researcher, you'll conduct research on a variety of topics. You'll use your knowledge of research methods to design and execute studies. Courses like What is Machine Learning? may be useful for you, as it can help you build a foundation in machine learning concepts and the role data plays. This can give you the skills you need to be successful in this role.
For more career information including salaries, visit:
OpenCourser.com/course/dybqv6/what
Reading list
We've selected nine 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
What is Machine Learning?.
Provides a comprehensive overview of statistical learning methods, including supervised and unsupervised learning algorithms.
Provides a comprehensive overview of pattern recognition and machine learning algorithms, covering topics such as discriminant analysis, clustering, and neural networks.
Save
Provides a comprehensive overview of deep learning models and algorithms, written by leading researchers in the field.
Provides a comprehensive overview of machine learning algorithms for natural language processing, covering topics such as text classification, sentiment analysis, and machine translation.
Provides a practical guide to machine learning using popular Python libraries such as Scikit-Learn and TensorFlow, covering both supervised and unsupervised learning methods.
Provides a probabilistic approach to machine learning, covering topics such as Bayesian inference and graphical models.
Provides a comprehensive overview of machine learning algorithms for finance, covering topics such as stock prediction, risk management, and algorithmic trading.
Provides a comprehensive overview of machine learning algorithms for the web, covering topics such as web page classification, search engine optimization, and web personalization.
Provides an introduction to reinforcement learning, a type of machine learning that involves learning through trial and error.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dybqv6/what
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Time
9 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Introduces concepts and role of data in machine learning
Explores use cases to demonstrate practical applications
Discusses frameworks and services for building smart applications using AWS
Developed by AWS, the leading cloud service provider with expertise in machine learning
Provides a foundational understanding for beginners in machine learning
May require additional resources or knowledge to fully grasp concepts
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