IBM Watson 课程可以帮助您学习自然语言处理、Machine Learning、数据分析和 AI 驱动的应用程序开发。您可以掌握创建 Chatbot、分析大型数据集以及在各行各业实施 AI 解决方案的技能。许多课程都会介绍 IBM Watson Studio 和 Watson Assistant 等工具,让您能够有效地设计、训练和部署 AI 模型。

Cleveland Clinic
您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
初级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 人工智能, 人工智能和机器学习(AI/ML), 微软 Azure, 监督学习, MLOps(机器学习 Operator), 应用机器学习, 无监督学习, 回归分析, 预测建模, 无代码开发, 分类算法, 机器学习, 模型部署
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
中级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, PySpark, Model Evaluation, Deep Learning, Apache Spark, Generative AI, Transfer Learning, Data Pipelines, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Big Data, PyTorch (Machine Learning Library), Machine Learning, Unsupervised Learning, Natural Language Processing, Text Mining
混合 · 课程 · 1-3 个月

您将获得的技能: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google Gemini, Customer Analysis, Text Mining, Customer Insights, Google Cloud Platform, Data Management, Image Analysis, Big Data, Customer experience improvement, Unstructured Data, SQL, Data Analysis, Statistical Reporting, Machine Learning
中级 · 项目 · 不超过 2 小时

您将获得的技能: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Application Deployment, Data Store, Data Management, Virtual Machines, Cloud Infrastructure, Machine Learning Algorithms, Development Environment
中级 · 课程 · 1-4 周

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Workflow Management, Google Cloud Platform, Data Management, AI Workflows, Data Governance, Data Preprocessing, Model Evaluation, Data Pipelines, Machine Learning, Feature Engineering
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: 数据管理, Data Management, 数据预处理, Google 云端平台, 分析, 高级分析, 机器学习, 预测分析, 模型评估, 云存储, 应用机器学习, 功能工程, 模型部署
中级 · 项目 · 不超过 2 小时