Search result for Examples of supervised learning Online Courses & Certifications
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Design and Development of Educational Technology
by Eric Klopfer , Scot Osterweil , Judy Perry- 0.0
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9 Weeks
Unit 4 introduces the idea of collaborative learning and considers communities of practice. A broad understanding of several prominent educational theories and approaches regarding teaching and learning and examples of how these are manifested in educational technologies How to recognize different types of assessment and how technology is changing the landscape for assessing learning...
$99
Hands - On Reinforcement Learning with Python
by Packt Publishing- 3.9
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4.5 hours on-demand video
A practical tour of prediction and control in Reinforcement Learning using OpenAI Gym, Python, and TensorFlow Reinforcement learning (RL) is hot! This branch of machine learning powers AlphaGo and Deepmind's Atari AI. The scope of Reinforcement Learning applications outside toy examples is immense. IO, a machine learning consultancy, where he experienced first hand the frustrations of outbound sales and prospecting....
$11.99
Machine Learning Mastery (Integrated Theory+Practical HW)
by SaifAli Kheraj- 4
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8 hours on-demand video
Data Science is a multidisciplinary field that deals with the study of data. Students will be issued with tutorials and explanation of all the exercises to help you learn faster and enable you to link theory using hands on exercises. Have an in-depth understanding of the concepts of Machine Learning Introduction to machine learning: Overview of supervised and unsupervised learning...
$9.99
Customising your models with TensorFlow 2
by Dr Kevin Webster- 4.8
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Approx. 27 hours to complete
In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will also expand your knowledge of the TensorFlow APIs to include sequence models. [Knowledge check] Transfer learning...
Introduction to Formal Concept Analysis
by Sergei Obiedkov- 4.8
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Approx. 26 hours to complete
It provides tools for understanding the data by representing it as a hierarchy of concepts or, more exactly, a concept lattice. FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. Examples of attribute implications...
Leadership and Disruption
by Alfredo Castro- 4.7
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Approx. 15 hours to complete
As an interactive participant in this course, you’ll learn how to make effectively integrate the 3 elements of successful leadership, the LAB model: Learn, Apply and Benefit. LAB 2: Ahead of the game Course syllabus and learning activities Ahead of the game Graded quiz: End of module 1 quiz Graded quiz: End of module 2 quiz...
Deep Learning: GANs and Variational Autoencoders
by Lazy Programmer Team- 4.4
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7.5 hours on-demand video
Variational autoencoders and GANs have been 2 of the most interesting developments in deep learning and machine learning recently. By learning the structure of art, we can create more art. We wanted to learn the structure of data in order to improve supervised training, which we demonstrated was possible....
$29.99
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Combining and Analyzing Complex Data
by Richard Valliant, Ph.D.- 4.2
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Approx. 10 hours to complete
The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Combining of datasets raises ethical issues which the course reviews. Degrees of Freedom Impact of Research on Innovation, Competition and Science Machine Learning and Record Linkage (Winkler 2011)...
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. Sampling and sources of bias Lesson Learning Objectives Measures of Center Examples of Bayesian Inference...
Machine Learning using Python
by EDU CBA- 3.7
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3.5 hours on-demand video
This training is an introduction to the concept of machine learning, its algorithms and application using Python. Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. Supervised Learning Unsupervised Learning...
$12.99
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