Learn the Basics of Machine Learning with IBM Watson Studio
- Course Code W7L160G
- Duration 1 day
Course Delivery
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Course Delivery
This course is available in the following formats:
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Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopThis 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.
Course Schedule
TopTarget Audience
TopAI Specialists who want to learn machine learning algorithms
Course Objectives
Top- 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
Course Content
Top- Introduction to the case study and the data set
- Introduction to Machine Learning
- Developing the model
Course Prerequisites
Top- 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
- W7L160G
- Learn the Basics of Machine Learning with IBM Watson Studio
- Artificial intelligence
- W7L160G | Learn the Basics of Machine Learning with IBM Watson Studio | Training Course | IBM.
- IBM
