Search result for Examples of supervised learning Online Courses & Certifications
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Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. Supervised Learning Short History of ML: Linear Regression Supervised Learning...
Literacy Teaching and Learning: Aims, Approaches and Pedagogies
by Dr William Cope , Dr Mary Kalantzis- 4.3
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Approx. 16 hours to complete
The Learning Design and Leadership Series of MOOCs This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. Theory and Practice of Literacies Learning and Teaching 2 The Content Focus of Critical Literacies Learning...
Machine Learning Foundations: A Case Study Approach
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 18 hours to complete
Do you need a deeper understanding of the core ways in which machine learning can improve your business? Learning Outcomes: By the end of this course, you will be able to: -Identify potential applications of machine learning in practice. Other examples of clustering Other examples of deep learning in computer vision...
Inferential Statistics
by Mine Çetinkaya-Rundel- 4.8
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Approx. 17 hours to complete
You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. CLT (for the mean) examples CI (for the mean) examples Lesson Learning Objectives Lesson Learning Objectives HT (for the mean) examples...
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering....
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
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Approx. 2 hours to complete
Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers. The role of data in digital transformation 01: The Value of Data Module 3: Innovation with Machine Learning...
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
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Approx. 22 hours to complete
You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. -Understand how to use supervised learning approaches to approximate value functions Read Me: Pre-requisites and Learning Objectives Framing Value Estimation as Supervised Learning...
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Solve Business Problems with AI and Machine Learning
by Renée Cummings- 0.0
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Approx. 11 hours to complete
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. Solve Business Problems with AI and Machine Learning Course Introduction Challenges of AI/ML Machine Learning Model Differences Between Supervised and Unsupervised Learning Identify appropriate applications of AI and machine learning within a given business situation....
Advanced AI: Deep Reinforcement Learning in Python
by Lazy Programmer Team- 4.6
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10.5 hours on-demand video
This course is all about the application of deep learning and neural networks to reinforcement learning. We’ve seen that reinforcement learning is an entirely different kind of machine learning than supervised and unsupervised learning. While deep reinforcement learning and AI has a lot of potential, it also carries with it huge risk....
$29.99
MOOC and Blended Learning
by Shijie Yu- 0.0
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Approx. 5 hours to complete
The development of online education has brought opportunities and challenges for traditional teaching and learning. predicting the future of online education, 3 Multimodal Data Analysis of Students' Learning Behaviors and Needs 5 A Case Study of Zheng Li's Teaching Approaches for "C++ Program Design": Rain Courseware Examples and Instructional Tips on Campus...
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