This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine learning and data science concepts. You will develop concrete machine learning skills as well as create a final project demonstrating your proficiency.
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Machine Learning Introduction for Everyone
IBM Skills NetworkÜber diesen Kurs
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Compare and contrast artificial intelligence, machine learning, and deep learning
Explain the machine learning models development lifecycle
Differentiate between supervised and unsupervised machine learning
Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall
Kompetenzen, die Sie erwerben
- Deep Learning
- Artificial Intelligence (AI)
- Machine Learning
- Reinforcement Learning
- Machine Learning Model Lifecycle
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Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Machine Learning for Everyone
Machine Learning Topics
(Optional Honors) Final Project
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Top-Bewertungen von MACHINE LEARNING INTRODUCTION FOR EVERYONE
Easy to follow and digestable content. Great introduction to ML!
Thanks to the Authors, I learnt a lot from this course
I learned a lot from this course ,i love this course. i enjoyed this course and got a lot of knowledge.
my tool doesn't work!
I can't use it to upgrade my account and do my project!
says tha it's invalid
help
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich das Zertifikat erwerbe?
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