Search result for Examples of supervised learning Online Courses & Certifications
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Learning to Teach Online
by Associate Professor Simon McIntyre , Dr Negin Mirriahi- 4.7
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Approx. 18 hours to complete
The Learning to Teach Online (LTTO) MOOC will help you develop a working understanding of successful online teaching strategies that you can apply in your own practice. Which platform better allows the use of a MOOC with interactive activities? How can you best develop online learning for learners with low levels of independence?...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
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Approx. 7 hours to complete
Randomization was performed for the treatment of interest. Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians. Contrasting machine learning versus classical statistical inference Examples Machine Learning vs. Machine Learning vs....
The Business Intelligence Analyst Course 2021
by 365 Careers- 4.6
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20 hours on-demand video
And today, you have the chance of acquiring an invaluable advantage to get ahead of other candidates. 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
Deep Learning Regression with Python
by Diego Fernandez- 3.4
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4 hours on-demand video
Create target and predictor algorithm features for supervised regression learning task. This practical course contains 35 lectures and 4 hours of content. It’s designed for all deep learning regression knowledge levels and a basic understanding of Python programming language is useful but not required. Then, you’ll define algorithm features by creating target and predictor variables for supervised regression learning task....
$9.99
Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
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Approx. 24 hours to complete
Apply transfer learning to object localization and detection. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models. Options in Transfer Learning Transfer Learning with ResNet50...
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 17 hours to complete
Learning Outcomes: By the end of this course, you will be able to: -Compare and contrast supervised and unsupervised learning tasks. Components of latent Dirichlet allocation model Goal of LDA inference Using the output of collapsed Gibbs sampling Learning LDA model via Gibbs sampling Modeling text data with a hierarchy of clusters...
Deep Learning CNN: Convolutional Neural Networks with Python
by AI Sciences- 4.5
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14 hours on-demand video
Architecture of a CNN Transfer Learning Implementation of transfer learning using TensorFlow-hub An overview of concepts of Deep Learning theory. Deep details of CNNs with examples of training CNNs from scratch. The use and applications of state-of-the-art pre-trained CNNs (with implementations in state-of-the-art framework TensorFlow) for transfer learning on your own dataset....
$14.99
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Teaching Impacts of Technology: Data Collection, Use, and Privacy
by Beth Simon- 4.6
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Approx. 13 hours to complete
In the pedagogy section for this course, in which best practices for teaching computing concepts are explored, you’ll learn how to apply Bloom’s taxonomy to create meaningful CS learning objectives, the importance of retrieval-based learning, to build learning activities with online simulators, and how to use “fun” books to teach computing....
Introduction to Self-Determination Theory: An approach to motivation, development and wellness
by Richard Ryan- 4.8
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Approx. 21 hours to complete
5: More Fun With Intrinsic Motivaton: The Example of Video Games Lecture 5: More Fun with Intrinsic Motivation: The Example of Video Games Everyday Examples of Different Forms of Motivations The impact of Internalization: Three Examples Lecture 8: Everyday Examples of Different Forms of Motivation Lecture 10: The Impact of Internalization: Three Examples...
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
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Approx. 53 hours to complete
Welcome to this course on Probabilistic Deep Learning with TensorFlow! This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets. Welcome to Probabilistic Deep Learning with TensorFlow 2 The need for uncertainty in deep learning models...
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