Search result for Supervised and unsupervised learning Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 229 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Applied Unsupervised Learning with R
by Packt Publishing- 4.5
-
![]()
![]()
![]()
![]()
![]()
4.5 hours on-demand video
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. He has previously worked on creating and deploying unsupervised learning solutions in fields such as finance, cryptocurrency trading, logistics, and natural language processing....
$11.99
Data for Machine Learning
by Anna Koop- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Business Understanding and Problem Discovery What is Unsupervised Learning...
AWS SageMaker Practical for Beginners | Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.6
-
![]()
![]()
![]()
![]()
![]()
14.5 hours on-demand video
Machine and deep learning are the hottest topics in tech! Diverse fields have adopted ML and DL techniques, from banking to healthcare, transportation to technology. We teach SageMaker’s vast range of ML and DL tools with practice-led projects. Project #2: Train, test and deploy a multiple linear regression machine learning model to predict medical insurance premium....
$12.99
R: Neural Nets and CNN Architecture in R - Masterclass!
by Packt Publishing- 3.6
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
You’ll also apply supervised and unsupervised learning to your daily projects. Here we understand how Neural Networks work and the benefits they offer for supervised and well as unsupervised learning before building our very own neural network. We will then move on to understanding the different Deep Learning Architectures, including how to set up your architecture and align the output....
$11.99
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. The underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines...
$99
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills....
Practical Machine Learning
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. Welcome to Practical Machine Learning Week 4: Regularized Regression and Combining Predictors...
Related searches
The Business Intelligence Analyst Course 2021
by 365 Careers- 4.6
-
![]()
![]()
![]()
![]()
![]()
20 hours on-demand video
Introduction to Data and Data Science Statistics and Excel And your success is our success, so let’s make it happen! Introduction to Data and Data Science – Make sense of terms like business intelligence, traditional and big data, traditional statistical methods, machine learning, predictive analytics, supervised learning, unsupervised learning, reinforcement learning, and many more; ...
$14.99
Master Machine Learning with Scikit-Learn Library & Python
by Piyush Dave- 5
-
![]()
![]()
![]()
![]()
![]()
10.5 hours on-demand video
This Course will design to understand Machine Learning Algorithms with case Studies using Scikit Learn Library. The Machine Learning Algorithms such as Linear Regression, Logistic Regression, SVM, K Mean, KNN, Naïve Bayes, Decision Tree and Random Forest are covered with case studies using Scikit Learn library. Machine Learning Types such as Supervise Learning, Unsupervised Learning, Reinforcement Learning are also covered....
$9.99
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 29 hours to complete
Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. Supervised vs Unsupervised Learning Supervised vs Unsupervised – Review Information...
Previous
