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在整个课程（说明和评估）中使用的语言。
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“科学方法” 的结果
状态：新状态：免费试用您将获得的技能: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms
Google Cloud
您将获得的技能: Data Management, Data Governance, MLOps (Machine Learning Operations), Forecasting, Google Cloud Platform, Workflow Management, Data Pipelines, Predictive Analytics, Applied Machine Learning, Data Processing, Machine Learning, Feature Engineering, Performance Tuning
状态：新Google Cloud
您将获得的技能: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, LLM Application, Artificial Intelligence, Google Workspace, Operational Efficiency
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Large Language Modeling, Artificial Intelligence, Data Processing, Machine Learning, Predictive Modeling, Natural Language Processing
您将获得的技能: Cloud Infrastructure, Solution Architecture, Cloud Computing Architecture, Cloud Computing, Cloud Solutions, Cloud Security, Google Cloud Platform, Process Optimization, System Implementation, Scalability, Key Performance Indicators (KPIs)
状态：新状态：预览Northeastern University
您将获得的技能: Text Mining, Time Series Analysis and Forecasting, Data Mining, Artificial Neural Networks, Trend Analysis, Unsupervised Learning, Regression Analysis, Unstructured Data, Forecasting, Statistical Analysis, Deep Learning, Data Analysis, Big Data, Predictive Modeling, Supervised Learning, Machine Learning, Algorithms
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Data Governance, Data Management, Workflow Management, Data Processing, Google Cloud Platform, Tensorflow, Machine Learning, Data Pipelines, Predictive Modeling, Data Transformation, Feature Engineering, Containerization, Continuous Monitoring
您将获得的技能: Application Deployment, Cloud Infrastructure, Microservices, Kubernetes, Google App Engine, Service Level, Google Cloud Platform, Network Architecture, CI/CD, Cloud Computing Architecture, Cloud Storage, DevOps, Cloud Security, Scalability, Identity and Access Management, Disaster Recovery
状态：新您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Continuous Monitoring, Data Ethics, Machine Learning, A/B Testing
状态：新状态：免费试用Board Infinity
您将获得的技能: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Scalability, Artificial Neural Networks, Regression Analysis, Interoperability
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Prompt Engineering, Productivity, Google Workspace, Gmail
您将获得的技能: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Continuous Deployment, System Monitoring, Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Advanced Analytics, Artificial Intelligence, Machine Learning, Data Cleansing
总之，以下是 10 最受欢迎的 科学方法 课程
- NLP – Machine Learning Models in Python: Packt
- Machine Learning in the Enterprise - 日本語版: Google Cloud
- 生成 AI: chatbot を超えて: Google Cloud
- Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
- Preparing for Your Cloud Architect Journey - 日本語版: Google Cloud
- Machine Learning and Data Analytics Part 2: Northeastern University
- Machine Learning in the Enterprise - 한국어: Google Cloud
- Reliable Cloud Infrastructure: Design and Process - 繁體中文: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia: Google Cloud
- Machine Learning with Implementation in Java: Board Infinity
