December 2020
Beginner to intermediate
4h 27m
English
Closed Captioning available in English
Overview
In this 4-hour course, you'll explore the foundational concepts of Machine Learning, perfect for those without prior experience. You'll gain clarity on how Artificial Intelligence (AI) has grown, dive into key learning methodologies, and understand the training process of ML models. With clear examples and practical insights, you'll establish a strong base in AI.
What I will be able to do after this course
- Understand the concepts of Machine Learning, AI, and deep learning.
- Learn how Machine Learning models are classified and their main purposes.
- Gain insight into the differences between supervised, unsupervised, and reinforcement learning.
- Analyze how Machine Learning models are trained and their real-world applications.
- Explore challenges in AI such as bias, fairness, and security implications.
Course Instructor(s)
Idan Gabrieli is an experienced instructor with a comprehensive background in Machine Learning and Artificial Intelligence. He has guided numerous learners, starting from foundational concepts to advanced methodologies, with a focus on clear, accessible explanations. His teaching style ensures that students retain practical and theoretical knowledge suitable for the career applications of AI.
Who is it for?
This course is best suited for beginners interested in technology, especially Machine Learning and AI. No technical background is required, making it accessible for curious learners. It's ideal for individuals looking to understand the core principles behind AI and its real-world significance. If you're starting your journey in AI, this course is your perfect entry point.
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