Filter by
The language used throughout the course, in both instruction and assessments.
Results for "mlops (machine learning operations)"
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Applied Machine Learning, GitHub, Application Programming Interface (API)
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Transformation, Data Manipulation, Data Science
University of London
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Data-Driven Decision-Making, Performance Tuning
Skills you'll gain: Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Solutions, Machine Learning, Data Storage, Natural Language Processing, Image Analysis, Application Programming Interface (API), Automation
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Probability & Statistics, Jupyter, Big Data, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Data Presentation, Artificial Intelligence
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Statistical Machine Learning, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Transformation, Statistical Analysis
Alberta Machine Intelligence Institute
Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Methods, Machine Learning, Supervised Learning, Data Modeling, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Performance Metric
Searches related to mlops (machine learning operations)
In summary, here are 10 of our most popular mlops (machine learning operations) courses
- Neural Networks and Deep Learning:Â DeepLearning.AI
- MLOps Tools: MLflow and Hugging Face:Â Duke University
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Machine Learning for All:Â University of London
- Structuring Machine Learning Projects:Â DeepLearning.AI
- Introduction to AI and Machine Learning on Google Cloud:Â Google Cloud
- Machine Learning Pipelines with Azure ML Studio:Â Coursera Project Network
- Exploratory Data Analysis for Machine Learning:Â IBM
- Introduction to Machine Learning:Â Duke University
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London