Machine Learning: an overview
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 3 ساعات hours
- الطبع بواسطة Politecnico di Milano
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Offered by
عن
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.الوحدات
Introduction to Machine Learning
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1
Videos
1
Videos
- Introduction to machine learning
Supervised Learning
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3
Videos
3
Videos
- Supervised Learning problem
- Regression and Classification problems
- Model Selection
Weekly Quiz
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1
Assignment
1
Assignment
- Quiz
Unsupervised Learning
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3
Videos
3
Videos
- Unsupervised Learning: Clustering
- Unsupervised Learning: Dimensionality Reduction
- Unsupervised Learning: Association Rules
Weekly Quiz
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1
Assignment
1
Assignment
- Quiz
Sequential decision-making problems
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3
Videos
3
Videos
- Sequential decision-making problems
- Markov decision processes
- Reinforcement Learning algorithms
Weekly Quiz
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1
Assignment
1
Assignment
- Quiz
Auto Summary
Embark on a comprehensive journey into the world of machine learning with this foundational course, "Machine Learning: An Overview." Designed for those interested in IT & Computer Science, this course offers a broad introduction to the core methods and techniques within the machine learning field. Under the expert guidance of Coursera, learners will explore a variety of machine learning problems and their corresponding algorithmic solutions. The course emphasizes understanding both the potential and limitations of these methods through engaging examples and practical case studies. Spanning 180 minutes of insightful content, this course is perfect for beginners looking to build a solid foundation in machine learning. Flexible subscription options, including Starter and Professional plans, ensure that you can learn at your own pace and according to your own needs. Ideal for aspiring data scientists, IT professionals, and anyone with a keen interest in machine learning, this course promises to equip you with the essential knowledge and skills to navigate the exciting field of machine learning.
Marcello Restelli