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Avis et commentaires pour d'étudiants pour Machine Learning Introduction for Everyone par Réseau de compétences IBM

4.5
étoiles
74 évaluations

À propos du cours

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. After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices. In addition to receiving a certificate from Coursera, you'll also earn an IBM Badge to help you share your accomplishments with your network and potential employer. This Course Is Part of Multiple Programs You can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional Certificate and power a new career in the field of machine learning....

Meilleurs avis

MI

31 oct. 2022

Suitable for a beginner course. The course taught is >90% accurate to the quiz given, making learners not confused about the fundamentals of machine learning science.

BS

12 juin 2022

Very informative and for someone who just knows the word "Machine Learning", this was a good learning curve in getting to know about it

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par B P S

13 juin 2022

par Morgan B

11 juin 2022

par Mawardi I

31 oct. 2022

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27 juin 2022

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14 nov. 2022

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17 nov. 2022

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25 mai 2022

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3 juin 2022

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1 juil. 2022

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16 juil. 2022

par Sussy E

15 nov. 2022