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Results for "describe+fundamental+principles+of+machine+learning+on+azure"
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks
DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Google Cloud Platform, Scikit Learn (Machine Learning Library), Data Cleansing, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Data Analysis, Data Management, Data Governance, Workflow Management
DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, Data Ethics, Machine Learning, Regression Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Unstructured Data, Generative AI, Analytics, Supervised Learning, Data Processing
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Dashboard, MLOps (Machine Learning Operations), Big Data, Data Visualization Software, Data Processing, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Data Warehousing, Machine Learning, Feature Engineering
Google Cloud
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Machine Learning Methods, Feature Engineering, Machine Learning, Small Data, Data Processing, Cloud API
Google Cloud
Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Google Cloud Platform, Machine Learning Algorithms, Data Analysis, Big Data, Regression Analysis, Data Processing, Sampling (Statistics), Performance Tuning
Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Computing
Amazon Web Services
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Image Analysis, Computer Vision, Cloud Services, Text Mining, Machine Learning, Virtual Environment, Data Processing
Google Cloud
Skills you'll gain: Google Cloud Platform, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Applied Machine Learning, Development Environment, Data Ethics, Artificial Intelligence, Computer Vision, Jupyter
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
In summary, here are 10 of our most popular describe+fundamental+principles+of+machine+learning+on+azure courses
- Machine Learning:Â DeepLearning.AI
- Machine Learning in Production:Â DeepLearning.AI
- Machine Learning on Google Cloud:Â Google Cloud
- Supervised Machine Learning: Regression and Classification :Â DeepLearning.AI
- Microsoft Azure AI Fundamentals AI-900 Exam Prep:Â Microsoft
- Google Cloud Big Data and Machine Learning Fundamentals:Â Google Cloud
- Computer Vision Fundamentals with Google Cloud:Â Google Cloud
- Launching into Machine Learning:Â Google Cloud
- Microsoft Azure Data Scientist Associate (DP-100) Exam Prep:Â Microsoft
- Introduction to Machine Learning on AWS:Â Amazon Web Services