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Machine Learning Rapid Prototyping with IBM Watson Studio

  • Tuition USD $224
  • Reviews star_rate star_rate star_rate star_rate star_half 2913 Ratings
  • Course Code W7072G-WBT
  • Duration 1.125 days
  • Available Formats Self Paced

This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio- s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research. The focus will be on working with an auto-generated Python notebook. Learners will be provided with test data sets for two use cases.

 

Purchase this course as part of a subscription

  • IBM Data/AI Individual Subscription (SUBR003G)
  • IBM Digital Learning Subscription - IBM Data/AI Enterprise Subscription (SUBR004G)

Skills Gained

  • Building a rapid prototype of Watson Studio AI
  • Automated Data Preparation and Model Selection
  • Automated Feature Engineering and Hyperparameter Optimization
  • Evaluation and Deployment of AutoAI-generated Solutions

Who Can Benefit

This course is intended for practicing Data Scientists. While it showcases the automated AI capabilities of IBM Watson Studio with AutoAI, the course does not explain Machine Learning or Data Science concepts. 

Prerequisites

In order to be successful, you should have knowledge of:

 

- Data Science workflow, Data Preprocessing, Feature Engineering, Machine Learning Algorithms, Hyperparameter Optimization, Evaluation measures for models, Python and scikit-learn library (including Pipeline class)

Course Details

Course Outline

Building a rapid prototype of Watson Studio AI 

- Describe the benefits of AutoAI for rapid prototyping 
- Identify implementations of AutoAI 
- Become familiar with the Watson Studio platform 
- Build rapid prototypes using Watson Studio AutoAI 
- Generate a Python notebook of the prototype with one click 

Automated Data Preparation and Model Selection 

- Evaluate the data preprocessing steps for the use cases 
- Refine data preprocessing using the AutoAI-generated Python notebook 
- Examine the model selection outcome for use cases 
- Refine the Python notebook to make changes to the selected model 

Automated Feature Engineering and Hyperparameter Optimization 

- Explain how the Cognito algorithm can save time by automating feature engineering 
- Evaluate the automated feature engineering performance for the use cases 
- Describe several strategies for HPO in order of increasing sophistication 
- Observe how changes to the model hyperparameters in the Python notebook affect the prototype's performance 

Evaluation and Deployment of AutoAI-generated Solutions 

- Evaluate the prototype for further development or deployment based on calculated performance metrics 
- Deploy the prototype using Watson Machine Learning 
 

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

good and precise with some good lab practices. Explaied everything in good way

The instructor was very clear and organized, and the labs provided was very helpful.

very good... also gave relevant examples to our current business requirements.

training was very well organized in terms of material, presentation, instructor expertise.

Good training course and good delivery. Thanks for answering the questions

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