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Results for "pretraining transformers"
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Distributed Computing, Statistical Inference
Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Artificial Neural Networks, Deep Learning, Feature Engineering, Probability Distribution, Performance Tuning, Machine Learning, Regression Analysis, Data Processing
University at Buffalo
Skills you'll gain: Electrical Substation, Basic Electrical Systems, Electrical Safety, Low Voltage, High Voltage, Electrical Engineering, Electronic Components, Power Electronics, Wiring Diagram, Three-Phase, Environmental Issue, Environment, Emerging Technologies, Reliability
Google Cloud
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Data Pipelines, Kubernetes, Continuous Deployment, PyTorch (Machine Learning Library), Continuous Integration, Metadata Management, Machine Learning, Containerization, Automation
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Analysis, Debugging
- Status: Free
DeepLearning.AI
Skills you'll gain: Generative AI, Data Processing, Data Cleansing, Performance Testing, Deep Learning, System Configuration, Artificial Intelligence and Machine Learning (AI/ML), Configuration Management, Text Mining, Machine Learning
Skills you'll gain: Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), ChatGPT, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Text Mining, Application Development, Feature Engineering, Artificial Intelligence, Document Management, Machine Learning Methods, Jupyter, Data Processing, Tensorflow, Applied Machine Learning, Application Frameworks, Performance Tuning
Imperial College London
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Applied Machine Learning, Supervised Learning, Computer Vision, Artificial Neural Networks, Machine Learning, Jupyter
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
- Status: Free
Skills you'll gain: Apache Spark, Machine Learning Algorithms, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis
DeepLearning.AI
Skills you'll gain: Generative AI, Tensorflow, Image Analysis, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Unsupervised Learning, Computer Vision
DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Data Transformation, Data Sharing, Data Management, Data Validation, Performance Tuning
In summary, here are 10 of our most popular pretraining transformers courses
- Production Machine Learning Systems:Â Google Cloud
- Introduction to Neural Networks and PyTorch:Â IBM
- Electric Power Systems:Â University at Buffalo
- ML Pipelines on Google Cloud:Â Google Cloud
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- Pretraining LLMs:Â DeepLearning.AI
- Generative AI Engineering with LLMs:Â IBM
- Getting started with TensorFlow 2:Â Imperial College London
- Machine Learning in Production:Â DeepLearning.AI
- Machine Learning with Apache Spark:Â IBM