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Learn the Basics of Machine Learning with IBM Watson Studio
Course Description
Overview
This course introduces a case study, data set, machine learning concepts, and developing a machine learning model with Watson Studio.
Initially, you will be introduced to the case study and the challenges company facing, and the company data set. Next, you will be introduced to supervised, unsupervised learning, deep and reinforcement learning algorithms. Finally, you will develop a supervised machine learning model IBM Watson Studio with the dataset provided using Python.
Objectives
- Describe the use case and the data set
- Distinguish between supervised and unsupervised machine learning
- Define deep learning and reinforcement learning
- Demonstrate the basic functions of Watson Studio for machine learning
Audience
AI Specialists who want to learn machine learning algorithms
Prerequisites
- Some experience in Python
- Some experience in Jupyter notebook
- Some experience in Watson Studio or completion of Watson Studio Primer
- A Watson Studio Lite plan
Topics
- Introduction to the case study and the data set
- Introduction to Machine Learning
- Developing the model
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our IBM Watson Badge Program →Related Courses
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This course is eligible for the Learn the Basics of Machine Learning with IBM Watson Studio - Code: W7L160G
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
IBM Web Based Training courses are sold on a per-user basis. WBT courses provide a training advantage for you and your teams, helping you get up to speed quickly. Take the courses you need, at your convenience and at your own pace.
You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
System Requirements
To participate in this course, the student workstation must meet the following hardware requirements:- Minimum of 256 MB of memory
- Windows Vista or Windows 7-10 (32-bit or 64-bit edition)
- Internet Explorer 6 or higher or Firefox ESR
- 128-bit encryption
- Citrix Receiver for connection to the IBM Remote Lab Platform
- Java
- Access to Internet with at least 128 kbps down and 128 kbps up
- Other platforms/combinations may work but are not officially supported by IBM.
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