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. You will understand and analyze how to deal with changing data. You will also be able to identify and interpret potential unintended effects in your project. You will understand and define procedures to operationalize and maintain your applied machine learning model. By the end of this course you will have all the tools and understanding you need to confidently roll out a machine learning project and prepare to optimize it in your business context.
Ce cours fait partie de la Spécialisation Machine Learning: Algorithms in the Real World
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Spécialisation Machine Learning: Algorithms in the Real WorldAlberta Machine Intelligence InstituteÀ propos de ce cours
2 373 consultations récentes
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Certificat partageable
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100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Approx. 12 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Approx. 12 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is home to some of the world’s top talent in machine intelligence. We’re an Alberta-based
Programme de cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
Machine Learning Strategy
This week we'll present tools for understanding the overall strategy your business needs in order to see the best returns on ML investment. From understanding the current status to navigating ownership and setting up a team, this week is about understanding applied machine learning in a successful business context.
3 heures pour terminer
8 vidéos (Total 42 min), 1 lecture, 7 quiz
2 heures pour terminer
Responsible Machine Learning
This week we'll talk about the broader context of machine learning: how as developers we have responsibilities regarding how our technology will be used. Using case studies and existing frameworks we'll give you the tools to figure out your own ethical approach to realize the best outcomes while deploying machine learning in the real world.
2 heures pour terminer
6 vidéos (Total 27 min)
2 heures pour terminer
Machine Learning in Production & Planning
An important aspect of machine learning in the real world is considering how your machine learning models are integrated with existing systems, and what effect they have on your operations. This week we'll review things you should consider as you turn QuAMs and machine learning models into operational tools.
2 heures pour terminer
8 vidéos (Total 33 min)
5 heures pour terminer
Care and Feeding of your Machine Learning System
Work doesn't end just because your model is deployed! In our final week we'll go over all the things you need to consider in the context of an actual working system.
5 heures pour terminer
9 vidéos (Total 45 min)
Avis
Meilleurs avis pour OPTIMIZING MACHINE LEARNING PERFORMANCE
par PZ21 mars 2021
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
par EG8 janv. 2020
The whole specialization is extremely useful for people starting in ML. Highly recommended!
par LD28 août 2020
Too bad that few students taking it and I cannot get peer reviews..............
par VM30 mars 2020
Nice course! Long time waiting for peer-grades, but ok.
À propos du Spécialisation Machine Learning: Algorithms in the Real World
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.
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