One of the most important applications of AI in engineering is classification and regression using machine learning. After taking this course, students will have a clear understanding of essential concepts in machine learning, and be able to fluently use popular machine learning techniques in science and engineering problems via MATLAB. Among the many machine learning methods, only those with the best performance and are widely used in science and engineering are carefully selected and taught. To avoid students getting lost in details, in contrast to teaching machine learning methods one by one, the first two lectures display the global picture of machine learning, making students clearly understand essential concepts and the working principle of machine learning. Data preparation is then introduced, followed by two popular machine learning methods, support vector machines and artificial neural networks. Practical cases in science and engineering are provided, making sure students have the ability to apply what they have learned in real practice. In addition, MATLAB classification and regression apps, which allow easy access to many machine learning methods, are introduced.
Machine Learning and its Applications
Ce cours fait partie de Spécialisation Applied AI for Engineers and Scientists: Foundations
Instructeur : Bo Liu
Inclus avec 
Expérience recommandée
Détails à connaître
Ajouter à votre profil LinkedIn
janvier 2025
5 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Élaborez votre expertise du sujet
- Apprenez de nouveaux concepts auprès d'experts du secteur
- Acquérez une compréhension de base d'un sujet ou d'un outil
- Développez des compétences professionnelles avec des projets pratiques
- Obtenez un certificat professionnel partageable
Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a 5 modules dans ce cours
One of the most important applications of AI in science and engineering is classification and regression using machine learning. This module introduces essential concepts and principles in machine learning using two simple but useful machine learning techniques. After learning this module, students will be able to:
Inclus
10 vidéos7 lectures1 devoir2 éléments d'application3 sujets de discussion
Continuing the last module, this module still introduces essential concepts and principles in machine learning with a focus on model training and evaluation. After learning this module, students will be able to:
Inclus
7 vidéos4 lectures1 devoir2 éléments d'application3 sujets de discussion
This module introduces fundamental data preparation concepts and techniques to improve data quality in order to promote machine learning models providing good outcomes in real-world science and engineering practice. After learning this module, students will be able to:
Inclus
8 vidéos6 lectures1 devoir3 éléments d'application3 sujets de discussion
This module introduces support vector machines (SVMs), which is one of the most effective and popular methods for classification. After learning this module, students will be able to:
Inclus
12 vidéos4 lectures1 devoir2 éléments d'application3 sujets de discussion
This module introduces artificial neural networks (ANNs), which is one of the most effective and popular methods for regression and classification. After learning this module, students will be able to:
Inclus
14 vidéos5 lectures1 devoir1 élément d'application3 sujets de discussion
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Machine Learning
DeepLearning.AI
Google Cloud
Korea Advanced Institute of Science and Technology(KAIST)
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à 10,000+ cours de niveau international, projets pratiques et programmes de certification prêts à l'emploi - tous inclus dans votre abonnement.
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.