Machine Learning Rapid Prototyping with IBM Watson Studio

Machine Learning Rapid Prototyping with IBM Watson Studio

Taught in English


Gain insight into a topic and learn the fundamentals

Mark J Grover
Meredith Mante

Instructors: Mark J Grover


(10 reviews)

Intermediate level
Some related experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

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There are 4 modules in this course

In this module, you'll learn about the developing landscape of AutoAI technologies. You'll also become familiar with the Watson Studio platform in order to be able to perform your own AutoAI Experiments. After observing the AutoAI tool build prototypes for two use cases, you will try out the tool for yourself to build additional prototypes. 

What's included

7 videos14 readings4 quizzes

In this module, you will learn about the automated data preparation techniques performed by AutoAI and get a chance to experiment with different settings for data preprocessing in the AutoAI-generated Python notebook. You'll also learn about the procedure for automated model selection and experiment using different models on the datasets. 

What's included

9 videos11 readings3 quizzes

In this module, you will learn about the algorithm for automated feature engineering and perform some exploratory data analysis to try to understand why the algorithm performed particular feature transformations. You'll also learn about sophisticated methods for optimizing hyperparameters and explore hyperparameter tuning on the datasets using the AutoAI-generated Python notebook. 

What's included

9 videos11 readings3 quizzes

In this module, you will evaluate prototypes using the different evaluation metrics calculated by the AutoAI tool. You will also deploy the prototype for testing using the Watson Machine Learning API. 

What's included

4 videos9 readings3 quizzes1 peer review


Mark J Grover
13 Courses84,698 learners

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Reviewed on Sep 13, 2020

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