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Machine Learning Development An Overview of ML Development Process
Agenda 1 2 3 4 5 Introduction Types of Machine Learning Machine learning development Process Data collection & Processing Challenges in Machine learning development Presentation title
At Contoso, we empower organizations to foster collaborative thinking to further drive workplace innovation. By closing the loop and leveraging agile frameworks, we help business grow organically and foster a consumer-first mindset. Introduction to Machine Learning
Types of Machine Learning Supervised Learning – Labeled data, classification, regression Unsupervised Learning – Clustering, anomaly detection Reinforcement Learning – Learning through rewards and penalties
Machine Learning Development ProcessStep 1: Problem DefinitionStep 2: Data Collection & PreprocessingStep 3: Model SelectionStep 4: Training & Evaluation Presentation title
Importance of quality data Handling missing data Data normalization and feature engineering Data Collection & Preprocessing Presentation title
Data bias and ethical concerns Computational costs Interpretability and explainability of ML models Challenges in ML Development
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