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W7L160G - Learn the Basics of Machine Learning with IBM Watson Studio

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.

Code: w7l160g

Duration: 6.0 hours

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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

Content

Introduction to the case study and the data set
Introduction to Machine Learning
Developing the model

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

Certification

Course Benefits

Career growth
Broad Career opportunities
Worldwide recognition from leaders
Up-to Date technical skills
Popular Certification Badges

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