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Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
Machine learning techniques for robust estimation of factor models References for module 2"Machine learning techniques for robust estimation of factor models" Machine learning techniques for efficient portfolio diversification Introduction to module 3 -Machine learning techniques for efficient portfolio diversification References for the module "Machine learning techniques for efficient portfolio diversification" Machine learning techniques for regime analysis...
Natural Language Processing
by Luis Serrano , Jay Alammar , Arpan Chakraborty , Dana Sheahen- 0.0
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3 Months
Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more! Build models using probabilistic and deep learning techniques and apply them to speech recognition, machine translation, and more!...
Instructional Methods in Health Professions Education
by Caren Stalburg, MD, MA- 4.7
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Approx. 21 hours to complete
Unit 1 - Adult Learning Theory 01 - Learning Styles and Motivation 03 - Social Learning Theory READ: Adult Learning Theory (Unit 01) 01 - Motivation and Learning Unit 2 - Intended Learning Outcomes READ: Intended Learning Outcomes (Unit 02) 01: Learning Domains 01 - Active Learning in Large Lecture Formats Keep Learning with Michigan Online!...
Machine Learning Engineer
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Learn advanced machine learning deployment techniques and software engineering best practices. These skills can also be applied in roles at companies that are looking for data scientists to introduce machine learning techniques into their organization....
$399
Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
Machine learning is changing countless industries, from health care to finance to market predictions. In this program, you’ll apply machine learning techniques to a variety of real-world tasks, such as customer segmentation and image classification. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
Machine learning is changing countless industries, from health care to finance to market predictions. In this program, you’ll apply machine learning techniques to a variety of real-world tasks, such as customer segmentation and image classification. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
Whoever you are, we are looking forward to guiding you through you first machine learning project. NB this course is designed to introduce you to Machine Learning without needing any programming. That means that we don't cover the programming based machine learning tools like python and TensorFlow. Machine learning Machine learning...
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Matrix Factorization and Advanced Techniques
by Michael D. Ekstrand , Joseph A Konstan- 4.3
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Approx. 16 hours to complete
In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders. Matrix Factorization and Advanced Techniques Advanced Machine Learning Learning Recommenders Learning to Rank: Interview with Xavier Amatriain...
Sewing for Beginners! It's Sew Easy!
by Jacquelyn Louise- 0.0
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1.5 hours on-demand video
Learning Sewing Techniques...
$12.99
Computer Vision
by Sebastian Thrun , Cezanne Camacho , Alexis Cook , Juan Delgado , Jay Alammar , Ortal Arel , Luis Serrano- 0.0
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3 Months
Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Work on a variety of computer vision and deep learning applications from basic image processing to automatic image captioning....
