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Our Energy Future
by Dr. Stephen Mayfield- 4.7
Approx. 37 hours to complete
Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives...
Machine Learning Interview Preparation
by Arpan Chakraborty , Brynn Claypoole , Horatio Thomas- 0.0
Approx. 1 week
In this course, you’ll learn exactly what to expect during a machine learning interview....
Free
Information & Digital Literacy for University Success
by Katherine Olston- 4.9
Approx. 37 hours to complete
Understand how to disseminate and communicate information in a professional way, including managing digital identity and building networks for learning and research. 1 Learning Outcomes 2 Learning Outcomes 3 Learning Outcomes 4 Learning Outcomes 1 Learning Outcomes 2 Learning Outcomes 3 Learning Outcomes 4 Learning Outcomes 2 Digital Networks for Learning and Research...
Developing AI Applications on Azure
by Ronald J. Daskevich, DCS- 4.4
Approx. 16 hours to complete
We'll discuss machine learning types and tasks, and machine learning algorithms. Next, this course introduces the machine learning tools available in Microsoft Azure. By the end of this course, you will be able to create, implement and deploy machine learning models. Definition of AI and Machine Learning Machine Learning Alogrithms Comparison of machine learning algorithms...
Deep Learning by TensorFlow 2.0 Basic to Advance with Python
by Shiv Onkar Deepak Kumar- 3.3
17.5 hours on-demand video
Become Deep Learning professional by learning from Deep Learning professional Deep Learning has been most talked about for the last few years and the knowledge has been spread across multiple places. Transfer learning Best practices for Deep Learning and Award-winning Architectures The content (80% hands on and 20% theory) will prepare you to work independently on Deep Learning projects...
$12.99
Exploring Emerging Technologies for Lifelong Learning and Success
by Roberta (Robin) Sullivan , Cherie van Putten- 4.2
Approx. 4 hours to complete
This learning opportunity is an open-access resource for lifelong learning. The aim is to identify the value and implications of using established and emerging technology tools for personal and professional growth and acquire strategies to develop lifelong learning habits to keep pace with technology change. Lifelong Learning (Module 1) Introduction - Exploring Emerging Technologies for Lifelong Learning and Success...
How To Teach Us
by Larry Rosenstock , Dan Wise , Patrick E. Yurick- 4.3
Approx. 6 hours to complete
Significant Learning Significant Learning Video Just Listen: Youth Talk About Learning The Deeper Learning Instructional Triangle Presentations Of Learning At High Tech High Rhianne's Presentation Of Learning...
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Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
Approx. 28 hours to complete
Machine learning is transforming the world around us. With these skills, you will be able to tackle many practical machine learning tasks. These people never sleep to babysit this course day and night, to make your learning experience productive, smooth and exciting. Machine Learning Applications for BigData Decision Trees & Ensemble Learning...
Optimizing Machine Learning Performance
by Anna Koop- 4.6
Approx. 12 hours to complete
This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
Practical Machine Learning on H2O
by Darren Cook- 4.5
Approx. 24 hours to complete
Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms....