Results for "ml"
Microsoft
Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Data Preprocessing, Model Optimization
Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing
Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Culture Transformation, Application Programming Interface (API), Technology Strategies, Cloud Security, Data Mapping, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Model Training, Cloud Platforms, Image Analysis, Infrastructure As A Service (IaaS)
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis
What brings you to Coursera today?
Pragmatic AI Labs
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Model Optimization, Rust (Programming Language), CI/CD, LLM Application, Frontend Performance, AI Security, Performance Tuning, Applied Machine Learning, Large Language Modeling, Performance Testing, Cryptographic Protocols, Python Programming, Cryptography, Software Engineering
Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Microsoft Azure, Prompt Engineering, Model Training, Cloud Deployment, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, Model Evaluation, AI Workflows, Data Pipelines, Fine-tuning, Continuous Monitoring, Data Preprocessing
Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
Skills you'll gain: Model Deployment, Snowflake Schema, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Model Training, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
In summary, here are 10 of our most popular ml courses
- Microsoft AI & ML Engineering: Microsoft
- MLOps | Machine Learning Operations: Duke University
- Machine Learning Pipelines with Azure ML Studio: Coursera
- Build & Optimize TensorFlow ML Workflows: Coursera
- Digital Transformation Using AI/ML with Google Cloud: Google Cloud
- AI ML with Deep Learning and Supervised Models: Simplilearn
- Production ML with Hugging Face: Pragmatic AI Labs
- Apply Test-Driven ML Code: Coursera
- Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
