Learn the Basics of Machine Learning with IBM Watson Studio

IBM Training for Learn the Basics of Machine Learning with IBM Watson Studio

Skill Level: Basic

Modality: WBT - Web Based Training - Self Paced

Duration: 0.5 Day/s

Starting Price: $ - 135

Overview:

This course introduces a case study, dataset, common machine learning algorithms, and developing a machine learning model with IBM Watson Studio.

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.Â 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.

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Target Audience:

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..

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Prerequisites: If you are unfamiliar with Watson Studio, please review the Watson Studio Primer course, W7118G..

Topic: Introduction to the course

Introduction to the case study and data set

Introduction to Machine Learning

Developing the model

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Objective: 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

Category: Data, Analytics, and AI

Product Name:

IBM Watson Studio Cloud

Badge and Certification Info:

Badge Title:

Badge ID: NONE

Brand: Cloud Pak for Data

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