Machine Learning & AI Introduction (RXM402)

Course code: RXM402

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

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Course dates

Starting date: Upon request

Type: In-person/Virtual

Course duration: 1 day

Language: en/cz

Price without VAT: 660 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
Upon request In-person/Virtual 1 day en/cz 660 EUR Register
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Course description

How will this course benefit me?

  • Harness the Power of Data
  • Gain Competitive ML Skills
  • Demonstrate Your AI Skills to Others
  • Advance Your Career

This course is lab heavy and provides hands-on experience with a variety of ML libraries and toolkits.

The Linux Foundation has partnered with the AI/ML experts at rx-m to offer this course to the community.

Target group

Developers. Data Engineers, IT and QA Staff. Technical Managers. DevOps Engineers. Analysts. Project Managers and more!

Course structure

Module 1: AI/Machine Learning Overview and Data Processing
  • Lab: Setting up a Machine Learning Environment and Processing Data with NumPy and Pandas
Module 2: Data Visualization
  • Lab: Visualizing Data with Seaborn and Matplotlib
Module 3: Machine Learning Models
  • Lab: Building Models with scikit-learn
Module 4: Hyperparameter Tuning
  • Labs: Hyperparmeter Tuning with Optuna

Prerequisites

Participants should have basic programming skills (preferably in Python), a foundational understanding of mathematics and statistics, some experience with data analysis.

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