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Intro to Machine Learning (2 Days) is a brief course covering foundational concepts of ML model building, training workflows, and practical project applications, delivered in 4 hours each day.
ONLINE
Date
20 Sep - 21 Sep
Time
10:00 AM - 2:00 PM (EDT)
4.9/5
4.9/5
Trusted by organizations worldwide for professional development. Advance Agility connects clients with experienced trainers and global peers.
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This foundational course provides an in-depth introduction to core machine learning concepts, workflows, and practical application. Over two days (4 hours each), participants will learn the essentials of building and training ML models, data preprocessing, feature engineering, and evaluation techniques. The course covers supervised and unsupervised learning algorithms, including regression, classification, and clustering methods, alongside an introduction to neural networks and deep learning basics. Hands-on exercises and project-based learning guide participants through the end-to-end ML pipeline, from problem formulation to model deployment. This course is designed for beginners seeking a solid understanding of how to develop and apply machine learning solutions in real-world projects.
Lean Business Leadership and AI Coach
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Director of Agile Product Delivery & Transformation Coach
Business Agility and Transformation Coach
Online
