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Overview

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)
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What You'll Learn

  • 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 Should Attend

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. 
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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)

Learning Journey

Coming Soon...

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

Frequently Asked Questions (FAQs)

  • Why get IBM certified?

    IBM certifications validate your skills and expertise in a wide range of technologies, including hybrid cloud, data & AI, security, IT infrastructure, and business applications.

    These certifications are globally recognized and can help you advance your career, increase your earning potential, and demonstrate your commitment to professional development.

    IBM-certified professionals are in high demand, making them valuable assets to any organization seeking to leverage IBM's innovative solutions.

  • What to expect for the examination?

    IBM offers a variety of certification exams at different levels (Basic, Intermediate, and Advanced) covering various technologies and job roles.

    Exams typically consist of multiple-choice questions and may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is IBM certification valid for?

    The validity period of IBM certifications varies. Some certifications, particularly those focused on specific product versions or technologies, may have expiration dates.

    However, many IBM certifications, especially those focused on broader skills or newer technologies, do not have an expiration date.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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