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IBM Cloud Pak for Data Course

course overview

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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.

Audience

AI Specialists who want to learn machine learning algorithms

Skills Gained

  • 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

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

Outline

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

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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