Search result for Types of unsupervised learning Online Courses & Certifications
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Visualization for Data Journalism
by Margaret Ng- 4.4
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Approx. 18 hours to complete
While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. 2 Types of Charts and Graphs: Choosing the Right Chart for the Right Task 3 CRAP: The Principles of Design 3 The Role of Memory in Vision...
Art & Inquiry: Museum Teaching Strategies For Your Classroom
by Larissa Raphael , Francis Estrada , Lisa Mazzola- 4.7
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Approx. 9 hours to complete
Explore how to integrate works of art into your classroom with inquiry-based teaching methods originally developed for in-gallery museum education....
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Likewise, a more advanced approach to machine learning, called deep learning, uses artificial neural networks (ANNs) to solve these types of problems and more....
Data Science & Deep Learning for Business™ 20 Case Studies
by Rajeev D. Ratan- 4.2
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20 hours on-demand video
This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of Data Science and Deep Learning to real-world business problems. Unsupervised Learning - K-Means Clustering, PCA, t-SNE, Agglomerative Hierarchical, Mean Shift, DBSCAN and E-M GMM Clustering Get a head start applying these techniques to all types of Businesses by taking this course!...
$9.99
Deep Learning Essentials
by Mirko Bronzi , Golnoosh Farnadi , Gaétan Marceau Caron , Jeremy Pinto- 0.0
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5 Weeks
Then take this Deep Learning course developed by IVADO, Mila and Université de Montréal: an extensive overview of the essentials of deep learning, this ground-breaking technology already prevalent in our lives and spanning all sectors. Gain a good understanding of what Deep Learning is, what types of problems it resolves, and what are the fundamental concepts and methods it entails....
$149
Presentations: Speaking so that People Listen
by Tamy Chapman , Judy Hu , Dana Saito-Stehberger , Brad Gilpin- 4.5
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Approx. 25 hours to complete
Everyone gets a little nervous when they think about having to stand in front of other people and speak intelligently. Learners will record several videos of themselves giving assigned presentations and upload the videos for peer feedback. Types of Presentations Lecture Types of Presentations Practice Quiz...
Complete DataScience with Python and Tensorflow
by Nishant Srivastava- 3.9
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11 hours on-demand video
This course is for anyone who is interested in machine learning, deep learning and text analytics. Learn about basics of machine learning : supervised/ unsupervised, regression/ classification, metrics used for regression and classification Learn about popular machine learning algorithms (Keep an eye on this section, this will be updated as per demand)...
$11.99
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Process Mining: Data science in Action
by Wil van der Aalst- 4.7
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Approx. 22 hours to complete
Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. The course covers the three main types of process mining. 2: Different Types of Process Mining Different Types of Process Models...
Photovoltaic Systems
by Rasmus Nielsen , Sune Thorsteinsson- 0.0
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Approx. 12 hours to complete
This course offers you advanced knowledge within the field of photovoltaic system technology. A Brief History of PV The PV Learning Curve Fundamentals of PV Components of Solar Radiation Example: Estimation of PV Power Production Physics of Solar Cells Formation of Solids and Electronic Band Structures Recombination and Transport of Charge Carriers...
Generative Deep Learning with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
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Approx. 23 hours to complete
swan), and the style of a painting (eg. 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. Reference: - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , tf....
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