
IBM
您将获得的技能: 预测建模, 分类算法, 无监督学习, 监督学习, 降维, Python 程序设计, Scikit-learn (机器学习库), 机器学习, 逻辑回归, 应用机器学习, Model Evaluation, 功能工程, 回归分析, 决策树学习
中级 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling
初级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing
中级 · 专业证书 · 3-6 个月

您将获得的技能: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning
中级 · 指导项目 · 不超过 2 小时

Google Cloud
您将获得的技能: 云计算, 开发环境, 监督学习, 张力流, 人工神经网络, Google 云端平台, 深度学习, 脚本, 机器学习
初级 · 项目 · 不超过 2 小时

Duke University
您将获得的技能: 模型部署, 负责任的人工智能, 集装箱化, NumPy, GitHub, 微软 Azure, 云部署, AWS SageMaker, 云计算, 拥抱的脸, 探索性数据分析, Python 程序设计, 机器学习, 数据分析, Devops, MLOps(机器学习 Operator), Pandas(Python 软件包), 数据管理, 大数据, 数据操作
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月

Microsoft
您将获得的技能: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
中级 · 课程 · 1-3 个月

Imperial College London
您将获得的技能: Python 程序设计, 应用数学, Algorithm, Jupyter, NumPy, 线性代数, 机器学习算法
初级 · 课程 · 1-3 个月

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

您将获得的技能: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时

Google Cloud
您将获得的技能: 人工智能, Prompt Engineering, 张力流, 模型部署, 生成式人工智能, 监督学习, 云基础设施, 大数据, AI 工作流程, 机器学习, MLOps(机器学习 Operator), Google 云端平台
初级 · 课程 · 1-3 个月