Unsupervised Learning: Clustering, Dimensionality Reduction, Recommendation Systems

13, 20 & 27 July, 2022 at 5:00 PM Live Webinar Unsupervised Learning: Clustering, Dimensionality Reduction, Recommendation Systems Save my spot Hi Suyog Ahuja, We would like to invite you to a FREE Webinar session on the topic Unsupervised Learning: Clustering, Dimensionality Reduction, Recommendation Systems. Save my spot About Webinar Data science and machine learning have taken the work by storm. Most of the organisations are investing in it. And more want to invest. Currently there is an acute shortage of practitioners who understand these concepts. This is the fourth session for the Data science and Machine Learning series. In this session, we will explore the unsupervised learning concepts for dimensionality reduction problems, clustering problems and recommendation systems...more Vaibhav Verdhan Advanced Analytics Lead, AstraZeneca UK Speaker Details Vaibhav Verdhan is a seasoned data science professional with rich experience spanning across geographies and domains. He is a published author with bo...more Save my spot Unsupervised learning: clustering Key points of discussion What is unsupervised learning What is clustering Clustering algorithms - kmeans, hierarchical, DBSCAN View Unsupervised learning: dimensionality reduction Key points of discussion What is dimensionality reduction Why is dimensionality reduction required Clustering algorithms - PCA, SVD View Unsupervised learning: recommendation systems Key points of discussion What are recommendation systems Why are recommendation systems required Collaborative filtering, Matrix factorization View Regards, Team TechGig TechGig.com Times Center, FC - 6, Sector 16 A, Film City, Noida - 201301, Uttar Pradesh, India Follow Us on Download App Note: For your privacy and protection, please do not forward this mail to anyone as it allows you to get automatically logged into your account. If you do not want to receive this mailer, unsubscribe. To make sure this email is not sent to your "junk/bulk" folder, select "Add/save to Address Book" in your email browser and follow the appropriate instructions.