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“artificial intelligence and machine learning (ai/ml)” 的结果
- 状态:免费试用
您将获得的技能: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Hybrid Cloud Computing, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Public Cloud, Business Transformation, Containerization, Technology Strategies, Cloud-Native Computing, Multi-Cloud, Machine Learning, Data Strategy, Data Governance
- 状态:免费试用
Microsoft
您将获得的技能: 人工智能, 机器学习算法, 预测建模, 回归分析, 自动化, 人工智能和机器学习(AI/ML), 无代码开发, 应用机器学习, 微软 Azure, 无监督学习, 监督学习, 机器学习
- 状态:免费试用
您将获得的技能: 数据管道, 数据处理, 预测建模, 无监督学习, 回归分析, 数据转换, Apache Spark, 应用机器学习, PySpark, Apache Hadoop, 功能工程, 监督学习, 生成式人工智能, 摘录, 机器学习
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:新状态:免费试用
您将获得的技能: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms
- 状态:免费试用
您将获得的技能: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy
- 状态:新状态:免费试用
Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging
- 状态:新状态:免费试用
Macquarie University
您将获得的技能: Anomaly Detection, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Intrusion Detection and Prevention, Fraud detection, Cybersecurity, Applied Machine Learning, Malware Protection, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Network Analysis, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, MLOps (Machine Learning Operations), Data-Driven Decision-Making
- 状态:免费试用
您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric
- 状态:免费
Amazon Web Services
您将获得的技能: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technology Roadmaps
- 状态:免费试用
您将获得的技能: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability, Data Quality
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 应用数学, 数据科学, Machine Learning 方法, 数据转换, 数学建模, 降维, Python 程序设计, NumPy, 线性代数, 机器学习, 数据操作
总之,以下是 10 最受欢迎的 artificial intelligence and machine learning (ai/ml) 课程
- Digital Transformation Using AI/ML with Google Cloud: Google Cloud
- 微软 Azure 机器学习: Microsoft
- 使用 Apache Spark 进行机器学习: IBM
- Machine Learning on Google Cloud: Google Cloud
- AI & Predictive Analytics with Python: EDUCBA
- Advanced AI and Machine Learning Techniques and Capstone: Microsoft
- Java in Machine Learning: Board Infinity
- Cyber Security: Application of AI: Macquarie University
- AI and Machine Learning Algorithms and Techniques: Microsoft
- Introduction to Machine Learning: Art of the Possible: Amazon Web Services