Results for "multi-task learning"
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct
Coursera
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture, Algorithms
Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, CI/CD, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Scalability, Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
What brings you to Coursera today?
Skills you'll gain: API Design, MLOps (Machine Learning Operations), Restful API, OAuth, Model Deployment, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Stakeholder Communications, PyTorch (Machine Learning Library), Machine Learning Software, Applied Machine Learning, Artificial Intelligence, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
Skills you'll gain: Vision Transformer (ViT), MLOps (Machine Learning Operations), Generative AI, Model Deployment, Tensorflow, Performance Tuning, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, System Design and Implementation, Technical Communication, Machine Learning
Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
Skills you'll gain: AI Orchestration, AI Workflows, LangGraph, Enterprise Application Management, Generative AI Agents, Agentic systems, Retrieval-Augmented Generation, Scalability, Secure Coding, Context Management, Performance Tuning, Vector Databases, Embeddings, Debugging, Data Persistence
Skills you'll gain: Data Preprocessing, Model Evaluation, Hugging Face, Data Transformation, Feature Engineering, Data Pipelines, Image Analysis, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms
Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
In summary, here are 10 of our most popular multi-task learning courses
- MLOps | Machine Learning Operations:Â Duke University
- Multimodal Intelligence - Vision, Audio & Language in Action:Â Coursera
- Train ML Models:Â Coursera
- Machine Learning:Â DeepLearning.AI
- Machine Learning: Theory and Hands-on Practice with Python:Â University of Colorado Boulder
- Production-Ready Multimodal ML Engineering:Â Coursera
- End-to-End Multimodal AI: Fine-Tuning, Fusion, and MLOps:Â Coursera
- Career Development for Multimodal Intelligence:Â Coursera
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- Multi-Agent Systems and Orchestration:Â Coursera
