Principles of Machine Learning
Discover the fundamentals of Principles of Machine Learning ▼
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Course Feature
Cost:
Free
Provider:
Edx
Certificate:
No Information
Language:
English
Start Date:
1st Apr, 2018
Course Overview
❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [May 19th, 2023]
The Principles of Machine Learning course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. This course provides learners with a comprehensive overview of machine learning, including clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. Learners will gain an understanding of how to build and derive insights from these models using R, Python, and Azure Machine Learning. By the end of the course, learners will have the skills and knowledge to apply machine learning to real-world problems.
[Applications]
After completing this course, students should be able to apply the principles of machine learning to their own projects. They should be able to use the tools and techniques learned in the course to build, validate, and deploy machine learning models. They should also be able to use R, Python, and Azure Machine Learning to derive insights from these models. Finally, they should be able to use the knowledge gained in this course to identify and solve real-world problems using machine learning.
[Career Paths]
1. Data Scientist: Data Scientists use machine learning algorithms to analyze large datasets and uncover patterns and insights. They use these insights to develop predictive models and create data-driven solutions. Data Scientists are in high demand and the field is expected to continue to grow as more organizations rely on data-driven decision making.
2. Machine Learning Engineer: Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They use a variety of programming languages and tools to build and optimize machine learning models. This role is expected to grow as organizations continue to invest in machine learning technology.
3. Artificial Intelligence Engineer: Artificial Intelligence Engineers are responsible for developing and deploying AI-based solutions. They use machine learning algorithms to create intelligent systems that can learn from data and make decisions. This role is expected to grow as organizations continue to invest in AI technology.
4. Business Intelligence Analyst: Business Intelligence Analysts use machine learning algorithms to analyze large datasets and uncover patterns and insights. They use these insights to develop predictive models and create data-driven solutions. This role is expected to grow as organizations continue to invest in data-driven decision making.
[Education Paths]
1. Bachelor's Degree in Computer Science: A Bachelor's Degree in Computer Science is a great way to gain a comprehensive understanding of the fundamentals of machine learning. This degree will provide students with the knowledge and skills necessary to develop, implement, and maintain machine learning algorithms. Additionally, students will learn about the latest trends in the field, such as deep learning and artificial intelligence.
2. Master's Degree in Artificial Intelligence: A Master's Degree in Artificial Intelligence is a great way to gain a deeper understanding of the principles of machine learning. This degree will provide students with the knowledge and skills necessary to develop, implement, and maintain advanced machine learning algorithms. Additionally, students will learn about the latest trends in the field, such as natural language processing and computer vision.
3. Doctoral Degree in Data Science: A Doctoral Degree in Data Science is a great way to gain a comprehensive understanding of the principles of machine learning. This degree will provide students with the knowledge and skills necessary to develop, implement, and maintain sophisticated machine learning algorithms. Additionally, students will learn about the latest trends in the field, such as reinforcement learning and generative adversarial networks.
4. Certificate in Machine Learning: A Certificate in Machine Learning is a great way to gain a basic understanding of the principles of machine learning. This certificate will provide students with the knowledge and skills necessary to develop, implement, and maintain basic machine learning algorithms. Additionally, students will learn about the latest trends in the field, such as transfer learning and neural networks.
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Quiz
Submitted Sucessfully
1. What is the main purpose of Machine Learning?
2. Which programming languages are used in this course?
3. What is the main focus of this course?
4. What programming languages are used in this course?
Correct Answer: R, Python, and Azure Machine Learning.
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