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IBM Machine Learning Professional Certificate

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Total Duration
6 Months

Machine Learning is one of the most in-demand skills for jobs related to modern AI applications, a field in which hiring has grown 74% annually for the last four years (LinkedIn). This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. It also complements your learning …

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Courses in this Learning Path
1
Exploratory Data Analysis for Machine Learning
IBM Course via Coursera
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Duration : 8 hours
Level :Intermediate
Learn Type :Certification
Exploratory Data Analysis for Machine Learning
IBM Course via Coursera

This course will introduce you to Machine Learning and the contents of the IBM Machine Learning Professional Certificate. This course will teach you how to understand the importance and value of high-quality data. This course will show you how to extract data, clean it, and apply feature engineering.

This course will show you how to access data from multiple sources including SQL databases, …

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2
Supervised Machine Learning: Regression
IBM Course via Coursera
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Duration : 11 hours
Level :Intermediate
Learn Type :Certification
Supervised Machine Learning: Regression
IBM Course via Coursera

This course will teach you about Regression, which is one of the most important types supervised machine-learning modelling families. This course will show you how to create regression models that predict continuous outcomes. For comparisons between models, you'll also be able to use error metrics. You will also learn best practices like regularization and train and test splits.

3
Supervised Machine Learning: Classification
IBM Course via Coursera
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Duration : 11 hours
Level :Intermediate
Learn Type :Certification
Supervised Machine Learning: Classification
IBM Course via Coursera

This course will teach you about the most important type of supervised machine-learning modelling families: classification. This course will show you how to create predictive models that can categorize outcomes. For comparisons between models, you'll also be able to use error metrics. This course covers practical aspects of classification. This course will teach you how to create and test …

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4
Unsupervised Machine Learning by Coursera
IBM Course via Coursera
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Duration : 9 hours
Level :Intermediate
Learn Type :Certification
Unsupervised Machine Learning by Coursera
IBM Course via Coursera

This course will teach you Unsupervised Learning, one of the most important types in Machine Learning. You will learn how to extract insights out of data that doesn't contain any labeled or target variables. Unsupervised learning will show you how to select the best algorithm for your data. This course covers unsupervised learning in its practical aspects.

5
Deep Learning and Reinforcement Learning
IBM Course via Coursera
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Duration : 14 hours
Level :Intermediate
Learn Type :Certification
Deep Learning and Reinforcement Learning
IBM Course via Coursera

This course will introduce you to Deep Learning and Reinforcement Learning, two of the most popular disciplines in Machine Learning. Deep Learning is a subset in Machine Learning. It is used in both Supervised as well as Unsupervised Learning and is often used to power many of the AI applications we use every day. You will first learn about Neural Networks and the modern architectures of Deep …

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6
Specialized Models: Time Series and Survival Analysis
IBM Course via Coursera
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Duration : 11 hours
Level :Intermediate
Learn Type :Certification
Specialized Models: Time Series and Survival Analysis
IBM Course via Coursera

This course will introduce you to Machine Learning topics that can be used in conjunction with essential tasks such as forecasting and analysing censored data. Learn how to analyze data with a time component, and how to infer the outcome from censored data. A few techniques will be taught for Survival Analysis and Time Series Analysis. This course focuses on applying best practices and …

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