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Impact Evaluation Methods with Applications in Low- and Middle-Income Countries
by William Jack- 0.0
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24 Weeks
This course was created collaboratively by Georgetown University and the World Bank's Strategic Impact Evaluation Fund with support from the Georgetown Center for New Designs in Learning and Scholarship, Georgetown University Initiative of Innovation, Development and Evaluation (gui2de), and The Open Learning Campus of the World Bank Group. Define impact evaluation and recognize its importance....
$139
Evaluations of AI Applications in Healthcare
by Tina Hernandez-Boussard , Mildred Cho- 4.5
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Approx. 11 hours to complete
Learning Objectives Learning Objectives Clinical Evaluation and Uptake Learning Objectives In Silico Evaluation Learning Objectives Evaluation Bias Learning Objectives Analytical Evaluation Clinical Evaluation What standard evaluation metrics do and do not provide...
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Introduction to Machine Learning Introduction to Machine Learning Python for Machine Learning Intro to Machine Learning Model Evaluation in Regression Models...
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
Supervised and Unsupervised Learning Basics of Machine Learning Practical Machine Learning A Review of Supervised Learning and Regression Regression Evaluation A Review of Regression Evaluation Classification Evaluation Regression Evaluation Classification Evaluation Machine Learning Solutions Discussion Intro Machine Learning Solutions...
Master Machine Learning with Scikit-Learn Library & Python
by Piyush Dave- 5
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10.5 hours on-demand video
Learn Machine Learning Algorithms like Linear & Logistic Regression, SVM, KNN, KMean, NB, Decision Tree & Random Forest This Course will design to understand Machine Learning Algorithms with case Studies using Scikit Learn Library. Machine Learning concept such as Train Test Split, Machine Learning Models, Model Evaluation are also covered....
$9.99
Designing Learning Innovation
by Federica Brambilla , Daniela Casiraghi , Susanna Sancassani- 0.0
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Approx. 24 hours to complete
The MOOC is realized in a strongly integrated way with the book "Designing Learning Innovation" that will soon be published by Pearson (the english version will be the translation of the italian one already published). Peer Evaluation - the Intended Learning Outcomes The Learning Innovation Network: active classroom The Learning Innovation Network Infographic - the Learning Innovation Network...
Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
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Approx. 9 hours to complete
While it showcases the automated AI capabilies of IBM Watson Studio with AutoAI, the course does not explain Machine Learning or Data Science concepts. Machine Learning Algorithms Evaluation measures for models Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes Learning Outcomes Evaluation and Deployment of AutoAI-generated Solutions...
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Learn Machine Learning with Weka
by SVBook Pte. Ltd.- 3
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1.5 hours on-demand video
Learn Machine Learning and Weka with this COurse You will learn Machine Learning which is the Model and Evaluation of CRISP Data Mining Process. Model Evaluation...
$9.99
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
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Approx. 12 hours to complete
1-1 Brief Introduction to Machine Learning, Learning from Example 1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 3-2 Learning Decision Tree, Information Neural Network and Deep learning 4-2 Single-Layer Network and Perceptron Learning Rule Reinforcement learning...
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. Identify why deep learning is currently popular Mitigate common problems that arise in machine learning Supervised Learning Supervised Learning...
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