Results for "machine learning with tensorflow on google cloud platform"
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
Google Cloud
Skills you'll gain: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing
Google Cloud
Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning
Skills you'll gain: Generative AI, Generative AI Agents, Google Gemini, Google Cloud Platform, Generative Model Architectures, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Applied Machine Learning, Artificial Intelligence, Data Infrastructure, Multimodal Prompts, Model Deployment, Model Training, Machine Learning, Model Evaluation, Supervised Learning
Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Metadata Management, Data Storage, Data Quality, Data Cleansing, Machine Learning Methods
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing
What brings you to Coursera today?
Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing
Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning
Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Machine Learning, Machine Learning Methods, Machine Learning Software, Model Deployment, Data Preprocessing, Applied Machine Learning, Data Quality, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Statistical Machine Learning, Embeddings, Fine-tuning, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Dataflow
Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, Model Training, Model Optimization, Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Processing, Machine Learning, Python Programming, Data Transformation, Application Programming Interface (API)
Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Model Training, Exploratory Data Analysis, Business Metrics, Keras (Neural Network Library), Data Preprocessing, Data Quality, Model Evaluation, Logistic Regression, Applied Machine Learning, Data Pipelines, Data Cleansing, Machine Learning Methods, Data Processing, Machine Learning Software, Performance Tuning, Dataflow
Skills you'll gain: Model Optimization, Feature Engineering, Model Deployment, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Model Training, Machine Learning, Data Preprocessing, Data Quality, Keras (Neural Network Library), Applied Machine Learning, Business Metrics, Model Evaluation, Data Cleansing, Machine Learning Methods, Dataflow, Artificial Neural Networks, Data Pipelines, Logistic Regression
In summary, here are 10 of our most popular machine learning with tensorflow on google cloud platform courses
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- Machine Learning on Google Cloud: Google Cloud
- Advanced Machine Learning on Google Cloud: Google Cloud
- Introduction to AI and Machine Learning on Google Cloud: Google Cloud
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- Build & Optimize TensorFlow ML Workflows: Coursera
- TensorFlow 2 for Deep Learning: Imperial College London
- Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
