Applied Machine LearningMachine LearningClassification AlgorithmsMachine Learning (ML) AlgorithmsProject ManagementStatistical AnalysisPython ProgrammingComputer ProgrammingLinear Algebra
Специализация Machine Learning: Algorithms in the Real World
Machine Learning Real World Applications. Master techniques for implementing a machine learning project
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Специализация Machine Learning: Algorithms in the Real WorldAlberta Machine Intelligence InstituteЧему вы научитесь
Clearly define an ML problem
Survey available data resources and identify potential ML applications
Prepare data for effective ML applications
Take a business need and turn it into a machine learning application
Приобретаемые навыки
Специализация: общие сведения
Недавно просмотрено: 4,180
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.
After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Средний уровень
We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.
Прибл. 4 месяца на выполнение
Около 3 ч/неделю
Английский
Субтитры: Английский, Французский, Португальский (бразильский), Русский, Испанский
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Средний уровень
We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.
Прибл. 4 месяца на выполнение
Около 3 ч/неделю
Английский
Субтитры: Английский, Французский, Португальский (бразильский), Русский, Испанский
Специализация включает несколько курсов: 4
Introduction to Applied Machine Learning
Оценки: 514
This course 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 course will introduce you to problem definition and data preparation in a machine learning project.
Machine Learning Algorithms: Supervised Learning Tip to Tail
Оценки: 246
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. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.
Data for Machine Learning
Оценки: 72
This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to:
Optimizing Machine Learning Performance
Оценки: 27
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.
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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
Часто задаваемые вопросы
Получу ли я зачеты в университете за прохождение специализации?
Can I just enroll in a single course?
Можно ли зарегистрироваться только на один курс?
Can I take the course for free?
Могу ли я пройти курс бесплатно?
Действительно ли это полностью дистанционный курс? Нужно ли мне посещать какие-либо занятия лично?
Сколько времени занимает получение специализации?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
Получу ли я зачеты в университете за прохождение специализации?
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