Search result for Supervised learning machine learning Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,784 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
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. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. 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. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn....
Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Supervised Machine Learning methods are used in the capstone project to predict bank closures. Machine Learning as a Foundation of Artificial Intelligence, Part I Machine Learning as a Foundation of Artificial Intelligence, Part II Machine Learning as a Foundation of Artificial Intelligence, Part III Overview of the Supervised Machine Learning in Finance...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 34 hours to complete
The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning Module 2: Supervised Machine Learning - Part 1 Introduction to Supervised Machine Learning Module 4: Supervised Machine Learning - Part 2...
Project Planning and Machine Learning
by David Sluiter- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
* How machine learning algorithms work - a basic introduction Machine Learning Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 17 - Supervised Learning, Deep Learning Segment 20 - Machine Learning in IIoT Segment 21 - Machine Learning Summary Segment 12 - Processing Your Data Prior to Machine Learning...
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 months
lesson 1 Supervised Learning Machine Learning is the ROX Decision Trees Regression and Classification Neural Networks Instance-Based Learning Ensemble B&B Kernel Methods and Support Vector Machines (SVM)s Computational Learning Theory VC Dimensions Bayesian Learning Bayesian Inference lesson 2 Unsupervised Learning Randomized optimization Clustering Feature Selection Feature Transformation Information Theory lesson 3 Reinforcement Learning Markov Decision Processes Reinforcement Learning Game Theory...
Free
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. Why machine learning in healthcare? Supervised Machine Learning Approaches: Regression and the "No Free Lunch" Theorem Other Traditional Supervised Machine Learning Approaches Learn important approaches for leveraging data to train, validate, and test machine learning models....
Related searches
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: What is Machine Learning? Introduction to Supervised Machine Learning: Types of Machine Learning Supervised Machine Learning for Interpretation and Prediction...
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting....
Microsoft Azure Machine Learning
by Microsoft- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence....
