Professional Certificate in ML Design for Software Engineers
-- ViewingNowThe Professional Certificate in ML Design for Software Engineers is a comprehensive course that equips learners with essential skills in machine learning (ML) and artificial intelligence (AI). This program is crucial in today's industry, where ML and AI technologies are in high demand and integrated into numerous products and services.
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โข ML Basics for Software Engineers: Introduction to Machine Learning, Types of Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning
โข Data Preprocessing: Data Cleaning, Data Transformation, Data Reduction, Feature Scaling, Feature Selection, Data Leakage
โข Model Selection and Evaluation: Model Selection Criteria, Cross-Validation, Bias-Variance Tradeoff, Overfitting and Underfitting, Model Evaluation Metrics
โข Neural Networks and Deep Learning: Perceptron, Activation Functions, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks
โข Natural Language Processing (NLP): Text Preprocessing, Word Embeddings, Sentiment Analysis, Named Entity Recognition, Topic Modeling
โข Computer Vision: Image Preprocessing, Object Detection, Image Segmentation, Facial Recognition, Optical Character Recognition
โข Recommendation Systems: Collaborative Filtering, Content-Based Filtering, Hybrid Filtering, Evaluation Metrics
โข Ethics in ML: Bias and Fairness, Privacy and Security, Explainability and Interpretability, Ethical Considerations in ML Design
โข Deployment and Maintenance: Model Deployment, Model Monitoring, Model Retraining, Model Maintenance
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