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.
Ofrecido Por


Machine Learning Introduction for Everyone
Habilidades en redes de IBMAcerca de este Curso
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Prueba Coursera para negociosQué aprenderás
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
Habilidades que obtendrás
- Deep Learning
- Artificial Intelligence (AI)
- Machine Learning
- Reinforcement Learning
- Machine Learning Model Lifecycle
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Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Machine Learning for Everyone
Machine Learning Topics
(Optional Honors) Final Project
Reseñas
- 5 stars65,59 %
- 4 stars23,65 %
- 3 stars8,60 %
- 2 stars2,15 %
Principales reseñas sobre MACHINE LEARNING INTRODUCTION FOR EVERYONE
Thanks to the Authors, I learnt a lot from this course
Easy to follow and digestable content. Great introduction to ML!
Its very useful in understanding the basics of Machine Learning - Introduction.
I learned a lot from this course ,i love this course. i enjoyed this course and got a lot of knowledge.
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