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“化学与生物医学工程” 的结果
您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Data Modeling, Machine Learning
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Big Data, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing
Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Applied Machine Learning, Data Modeling, Statistical Methods
您将获得的技能: Load Balancing, Hybrid Cloud Computing, Google Cloud Platform, Network Performance Management, Cloud Security, Network Routing, Performance Tuning, Distributed Denial-Of-Service (DDoS) Attacks
Google Cloud
您将获得的技能: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling
- 状态:新
Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning, Development Environment, Collaborative Software
您将获得的技能: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Business Metrics, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Verification And Validation, Responsible AI, Machine Learning
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Machine Learning
- 状态:预览
Google Cloud
您将获得的技能: Big Data, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
- 状态:新状态:预览
Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Software Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines
您将获得的技能: Data Ethics, Responsible AI, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Software Visualization, Data Integrity, Artificial Intelligence
总之,以下是 10 最受欢迎的 化学与生物医学工程 课程
- Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia: Google Cloud
- Introduction to AI and Machine Learning on GC - Indonesian: Google Cloud
- Feature Engineering - Italiano: Google Cloud
- Networking in Google Cloud: Load Balancing - 日本語版: Google Cloud
- 透過 BigQuery 機器學習執行推論作業: Google Cloud
- Vertex AI에서 노트북 작업하기: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
- BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University