When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
Learn the Basics of Machine Learning with IBM Watson Studio
This IBM Web-Based Training (WBT) is Self-Paced and includes: - Instructional content available online for duration of course - Visuals without hands-on lab exercises This course introduces a case...
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This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises
This course introduces a case study, dataset, common machine learning algorithms, and developing a machine learning model with IBM Watson Studio.
In the first module, you will be introduced to Amsel Fit, our case study, a fictional company that produces dietary products, supplements, and healthy foods. The company faces a drop in sales and decides to analyze its marketing approach and predict which customers will or will not be likely to continue buying products. Also, you will be introduced to the dataset that we will be using to develop a machine learning model.
In the next module, you will be introduced to machine learning models including supervised, unsupervised learning that include classification and regression models, deep learning and reinforcement learning approaches.
In the third module, based on module one and module two, you will develop a supervised machine learning model with the dataset provided to predict which customer will buy or will not buy again after a coupon is provided.
Skills Gained
- Define machine learning
- Explain key terms of machine learning
- Outline supervised and unsupervised models
- Define deep learning and reinforcement learning
- List model development steps
- Develop the Random Forest model
- Evaluate the results
Who Can Benefit
This course is intended for anyone who wants to get a higher level overview of machine learning algorithms. Some coding experience would be useful. However, some level of IBM Watson Studio knowledge is required for model development on Watson Studio.
Prerequisites
If you are unfamiliar with Watson Studio, please review the Watson Studio Primer course, W7118G.
Course Details
Course Outline
- Introduction to the course
- Introduction to the case study and data set
- Introduction to Machine Learning
- Developing the model
