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Machine Learning & AI Introduction (RXM402)
Duration
1
Course
LNX-RXM402
Available Formats
Classroom Training, Online Training
Course Description
Overview
Harness the power of data with modern machine learning tools and techniques. In this one-day course, you will gain hands-on experience with machine learning libraries and toolkits such as Pandas, NumPy, Seaborn and scikit-learn.Key Benefits for You:
- Live, instructor-led hands-on labs
- Develop, tune, and test machine learning models
- Build models with AI and machine learning
This course is lab heavy and provides hands-on experience with a variety of ML libraries and toolkits.
Objectives
How will this course benefit the student?
- Harness the Power of Data
- Gain Competitive ML Skills
- Demonstrate Your AI Skills to Others
- Advance Your Career
Audience
Developers. Data Engineers, IT and QA Staff. Technical Managers. DevOps Engineers. Analysts. Project Managers.
Prerequisites
-
Participants should have basic programming skills (preferably in Python), a foundational understanding of mathematics and statistics, some experience with data analysis.
Topics
Module 1: AI/Machine Learning Overview and Data Processing
- Lab: Setting up a Machine Learning Environment and Processing Data with NumPy and Pandas
- Lab: Visualizing Data with Seaborn and Matplotlib
- Lab: Building Models with scikit-learn
- Labs: Hyperparmeter Tuning with Optuna
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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title
Please take a moment to fill out this form. We will get back to you as soon as possible.
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