Machine Learning Essentials with R is an essentials-level, three-day hands-on course that teaches students core skills and concepts in modern ML practices. This course is geared for attendees new to machine learning who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use cases.
Working in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:
Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below
This in an introductory-level course is geared for experienced developers or others (with prior Python, R or Scala experience, depending on the course flavor) intending to start using learning about and working with basic machine learning algorithms and concepts.
Pre-Requisites: Students should have
· Basic R programming skills. Attendees without R programming background may view labs as follow along exercises or team with others to complete them. (NOTE: This course is also offered in Python or Scala – please inquire for details)
· Good foundational mathematics skills in Linear Algebra and Probability, to start learning about and using basic machine learning algorithms and concepts
· Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su
Take Before: Attendees should have incoming experience aligned with the topics in one of the courses below, or should have attended one of these as a pre-requisite:
· TTDS6680 R Programming JumpStart – 3 days
· TTDS6681 R Essentials for Data Science – 2 days
· TTDS6682 R Programming in Data Science – 3 days
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most.
Time Permitting: Capstone Project
Each student will receive a Student Guide with course notes, code samples, software tutorials, diagrams and related reference materials and links (as applicable). Our courses also include step by step hands-on lab instructions and and solutions, clearly illustrated for users to complete hands-on work in class, and to revisit to review or refresh skills at any time. Students will also receive the project files (or code, if applicable) and solutions required for the hands-on work.
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