Machine Learning Basics for Everyone
Learn AI and machine learning fundamentals without coding. Ideal for beginners and non-technical professionals.
Learn AI and machine learning fundamentals without coding. Ideal for beginners and non-technical professionals.
Dive into the world of machine learning with this beginner-friendly course designed for everyone, regardless of technical background. Gain a solid understanding of AI and machine learning concepts, explore how data affects learning outcomes, and get hands-on experience with user-friendly tools. Developed by experts at Goldsmiths, University of London, this course demystifies complex ML concepts and provides practical insights into training models, understanding data features, and evaluating results. Perfect for those curious about AI's impact on society or professionals looking to understand ML's potential in their field.
4.7
(3,392 ratings)
1,75,682 already enrolled
Instructors:
English
বাংলা, اردو, Tiếng Việt, 2 more
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What you'll learn
Understand the basic principles of artificial intelligence and machine learning
Gain hands-on experience in training a machine learning model using a non-programming platform
Learn how data representation and features affect machine learning outcomes
Explore the structure and function of neural networks in a simplified manner
Understand the process of testing and evaluating machine learning models
Identify potential applications and use cases for machine learning in various fields
Skills you'll gain
This course includes:
115 Minutes PreRecorded video
7 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course offers a comprehensive introduction to machine learning, designed for beginners and non-technical professionals. Students will explore the fundamental concepts of artificial intelligence and machine learning, gaining insights into how these technologies work and their potential applications. The curriculum covers key topics such as data representation, feature engineering, neural networks, and the practical aspects of implementing machine learning projects. Through hands-on exercises using user-friendly tools, learners will experience training and testing machine learning models without the need for programming skills. The course also addresses the societal impacts of AI, discussing both the opportunities and potential risks associated with this transformative technology.
Machine learning
Module 1 · 5 Hours to complete
Data Features
Module 2 · 3 Hours to complete
Machine Learning in Practice
Module 3 · 5 Hours to complete
Your Machine Learning Project
Module 4 · 6 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Leading Expert in Virtual Reality and Interaction Design
Professor Marco Gillies serves as the Academic Director for Distance Learning and Deputy Head of Computing at Goldsmiths, University of London. With a strong focus on virtual reality (VR), machine learning, and interaction design, he is recognized for his contributions to these rapidly evolving fields. Professor Gillies teaches courses in the BSc Computer Science program and co-directs the MA/MSc in Virtual and Augmented Reality, where he combines theoretical knowledge with practical applications to prepare students for careers in technology and design. His expertise not only enhances the curriculum but also fosters innovation in how technology interacts with users, making him a key figure in advancing education and research within the computing discipline.
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4.7 course rating
3,392 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.