Machine Learning for Engineering & Science Applications | IIT Madras - #74 Introduction | Machine Learning for Engineering & Science Applications
Unlock the Future: Master AI & Machine Learning with NPTEL-IITM’s Comprehensive Course! Dive into Neural Networks, Deep Learning, Probabilities, and Optimization Techniques tailored for Engineering & Science Applications. Your AI journey starts here!
4.0(2)
22 learners
What you'll learn
Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.
Welcome to 'Machine Learning for Engineering & Science Applications' course !
This lecture provides an introduction to the topics that will be covered in week 9 of the course. The topics include random forests, K-means clustering, and agglomerative clustering.
NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications.
To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198
#MachineLearning #DeepLearning #SupervisedLearning #UnsupervisedLearning #RandomForests #KMeans #AgglomerativeClustering
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
