Results for "pre-trained models"
Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Skills you'll gain: Model Evaluation, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Image Analysis, Computer Vision, AI Workflows, Convolutional Neural Networks, Tensorflow, Dataflow, Performance Tuning, Performance Metric, Data Analysis, Deep Learning, Exploratory Data Analysis, Engineering Software, Process Optimization
Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science
Skills you'll gain: Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Responsible AI, Performance Reporting, Business Communication
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
What brings you to Coursera today?
Skills you'll gain: Model Evaluation, Deep Learning, Performance Tuning, Applied Machine Learning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis
Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles
Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Data Validation, System Monitoring, Continuous Monitoring, Verification And Validation, Predictive Modeling, Performance Metric, A/B Testing, Statistical Methods, Anomaly Detection, Failure Analysis, Debugging, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Skills you'll gain: Transfer Learning, Image Analysis, Computer Vision, Model Evaluation, Convolutional Neural Networks, Performance Metric, Quality Assessment, Performance Tuning, Performance Measurement, Data Quality, Applied Machine Learning, Data Validation, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling
In summary, here are 10 of our most popular pre-trained models courses
- ML Model Training & Validation:Â Coursera
- Eyes on AI - Computer Vision Engineering:Â Coursera
- AutoML: Build ML Models without Code:Â Edureka
- Predictive Models for Financial Risk:Â Coursera
- Build Predictive & Supervised Models:Â Coursera
- Fine-tune Multimodal Models with Transfer Learning:Â Coursera
- Optimize Deep Learning Models for Peak AI:Â Coursera
- Building and Optimizing AI Models :Â Coursera
- Production AI Model Development and Ethics:Â Coursera
- Training, Evaluating, and Monitoring Machine Learning Models:Â Coursera
