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The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
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Approx. 14 hours to complete
It's best to start with a holistic, business-oriented course on machine learning – no matter whether you’re more on the tech or the business side. In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. More on deep learning (optional)...
Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
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Approx. 13 hours to complete
Deep learning added a huge boost to the already rapidly developing field of computer vision. The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. Rules on the academic integrity in the course Deep learning in optical flow estimation...
Artificial Intelligence in Marketing
by Rajkumar Venkatesan- 4.6
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Approx. 11 hours to complete
Welcome to the Course Machine Learning Deep Learning Course Overview and Requirements Interview: Jim Snead on Automation at Ford Disney+ Arrives on the Scene Technical Note on Sustainable Competitive Advantage Interview: Patrick Cullen on Innovation at the Washington Post – Part 1 Interview: Patrick Cullen on Innovation at the Washington Post – Part 2...
#2 Read Music Notes Fast: Read 22 Music Notes in 7 Days
by Rosa Suen- 4.4
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1.5 hours on-demand video
Day 3: Five Music Notes in Treble Clef: D, F, A, C, E OVERCOME all frustrations of learning music notes HAVE FUN reading music notes from now on READ 11 Treble Clef Notes: C D E F G A B C D E F READ 11 Bass Clef Notes: G A B C D E F G A B C...
$15.99
Microsoft Azure Machine Learning
by Microsoft- 4.8
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Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence....
Grammar and Punctuation
by Tamy Chapman , Helen Nam , Brad Gilpin- 4.7
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Approx. 17 hours to complete
Course 1: Grammar and Punctuation If so, this course is perfect for you. The first course in this specialization is a refresher on some tools needed for good writing. Then you'll be able to remember the rules you learn in this course when you start writing essays in the next course. Course Introduction Course Introduction Video Course Update...
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
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Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. The Regression side of Supervised Learning Learning Curves Some resources on model assessment (Optional)...
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Optimizing Machine Learning Performance
by Anna Koop- 4.6
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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)....
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
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Approx. 22 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. Supervised Machine Learning Reference Provide Feedback on Your Course Experience...
Advanced Recommender Systems
by Paolo Cremonesi- 0.0
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Approx. 15 hours to complete
In this course, you will see how to use advanced machine learning techniques to build more sophisticated recommender systems. This course leverages two important EIT Digital Overarching Learning Outcomes (OLOs), related to your creativity and innovation skills. Course overview and welcome by the instructor Course Syllabus...
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