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Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
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Approx. 2 months
Learn how to build deep learning applications with TensorFlow. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. Developed by Google and Udacity, this course teaches a practical approach to deep learning for software developers....
Free
Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
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Approx. 8 hours to complete
This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? Introduction to Deep Learning Introduction to Neural Networks and Deep Learning Keras and Deep Learning Libraries...
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
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Approx. 18 hours to complete
A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance. Introduction to Fundamentals of Machine Learning in Finance...
Machine Learning Engineer for Microsoft Azure
by Noah Gift , Alfredo Deza , Erick Galinkin , Soham Chatterjee- 0.0
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3 Months
To stay in-demand at companies on the cutting edge of technology, engineers should prioritize developing their machine learning skill set. Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning....
$399
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!...
Take the Lead on Healthcare Quality Improvement
by Mary A. Dolansky, PhD, RN , Shirley Moore, PhD, RN, FAAN , Mamta K Singh, MD, MS- 4.4
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Approx. 30 hours to complete
Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Module 10 Learning Objectives...
Instructional Design Foundations and Applications
by Eunjung Grace Oh- 4.1
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Approx. 13 hours to complete
●Describe the major learning and instructional theories Learning Theories for Instructional Design, Part I Learning Theories for Instructional Design, Part II Analyzing Learning Context: Part I Needs Assessment Analyzing Learning Context: Part II Learning Environment Analysis Analyzing the Learning Task: Part I: Learning Goals and Outcomes Analyzing the Learning Task: Part II: Identifying Information Processing Steps and Prerequisites...
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New Learning: Principles and Patterns of Pedagogy
by Dr William Cope , Dr Mary Kalantzis- 4.7
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Approx. 15 hours to complete
Education is in a state of flux – transitioning from traditional architectures and practices to new ecologies of teaching and learning influenced by the tremendous social and technological changes of our times. The Learning Design and Leadership Series of MOOCs Module 4: Transformative Education - New Learning Transformative Education: New Learning Technology-Mediated Learning and Change...
Machine Learning: Unsupervised Learning
by Charles Isbell , Michael Littman , Pushkar Kolhe- 0.0
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Approx. 1 months
You will learn about and practice a variety of Unsupervised Learning approaches, including: randomized optimization, clustering, feature selection and transformation, and information theory....
Free
Getting Started with AWS Machine Learning
by Blaine SundrudTop Instructor- 4.5
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Approx. 9 hours to complete
Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career. Machine Learning Algorithms Explained Machine Learning Pipeline The Machine Learning Process...
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