Search result for Unsupervised learning Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 161 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Explain the kinds of problems suitable for Unsupervised Learning approaches This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. Introduction to Unsupervised Learning and K Means Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Unsupervised Learning...
Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 months
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. Then, use these skills to test and deploy machine learning models in a production environment. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 months
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. Then, use these skills to test and deploy machine learning models in a production environment. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn....
Machine Learning: Unsupervised Learning
by Charles Isbell , Michael Littman , Pushkar Kolhe- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 1 months
You will learn about and practice a variety of Unsupervised Learning approaches, including: randomized optimization, clustering, feature selection and transformation, and information theory. The answer can be found in Unsupervised Learning!...
Free
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Explain the kinds of problems suitable for Unsupervised Learning approaches This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. Introduction to Unsupervised Learning and K Means Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Unsupervised Learning...
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
-
![]()
![]()
![]()
![]()
![]()
7.5 hours on-demand video
Master advanced clustering, topic modeling, manifold learning, and autoencoders using Unsupervised Learning with Python! Unlike supervised machine learning, unsupervised machine learning methods cannot be applied to a regression or a classification problem as you have no idea what the values for the output data might be, making it impossible for you to train the algorithm the way you normally would....
$12.99
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 months
You will learn about and practice a variety of Supervised, Unsupervised and Reinforcement Learning approaches. In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems....
Free
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. The difference between the two main types of machine learning methods: supervised and unsupervised Unsupervised learning algorithms, including Clustering and Dimensionality Reduction...
$99
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. The difference between the two main types of machine learning methods: supervised and unsupervised Unsupervised learning algorithms, including Clustering and Dimensionality Reduction...
$99
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
These topics will be followed by sections on best practices for dimension reduction, outlier detection, and unsupervised learning techniques for finding patterns in your data. Employ unsupervised learning techniques using pipelines as part of the AI workflow Introduction to Unsupervised learning Unsupervised Learning Unsupervised learning: Through the Eyes of our Working Example An Overview of Unsupervised Learning...
