This hands-on, foundational course explores the fast-changing field of artificial intelligence (AI) programming, logic, search, machine learning, and natural language understanding. You will learn current AI / ML methods, tools, and techniques, their application to computational problems, and their contribution to understanding intelligence. You will leave this course with a practical understanding of core skills, methods and algorithms, and be prepared for continued learning in next-level, more advanced follow on courses that dive deeper into specific skillsets or tools.
* Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Learning Objectives
This "skills-centric" course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Throughout the course students will learn about and explore popular machine learning algorithms, their applicability and limitations; practical application of these methods in a machine learning environment; and practical use cases and limitations of algorithms.
Working in a hands-on lab environment led by our expert instructor, attendees will explore:
Getting Started with Python & Jupyter
Statistics and Probability Refresher, and Python Practice
Matplotlib and Advanced Probability Concepts
Algorithm Overview
Predictive Models
Applied Machine Learning
Recommender Systems
Dealing with Data in the Real World
Machine Learning on Big Data (with Apache Spark)
Testing and Experimental Design
GUIs and REST: Build a UI & REST API for your Models
$1,995
Length: 3.0 days (24 hours)
Level:
Course Schedule:
6:00 PM ET
6:00 PM ET