
您将获得的技能: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
中级 · 课程 · 1-3 个月

您将获得的技能: Algorithms, Systems Analysis, Resource Utilization, Scalability
中级 · 课程 · 1-4 周

University of Washington
您将获得的技能: 数据故事, 人机界面, 机器学习, 人工智能, 数据驱动决策, 创新, 人工智能产品战略, 决策支持系统, 自动化, 用户故事
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning
高级设置 · 课程 · 1-4 周

IBM
您将获得的技能: 模型评估, 数据可视化软件, 探索性数据分析, 数据分析, 仪表板, 无监督学习, 数据故事, Plotly, 数据导入/导出, 专业网络, 交互式数据可视化, 查询语言, 网络抓取, 数据操作, 数据扫盲, 数据展示, 生成式人工智能, 监督学习, Jupyter, 数据可视化
攻读学位
初级 · 专业证书 · 3-6 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
中级 · 专项课程 · 3-6 个月

您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications
初级 · 专项课程 · 3-6 个月
University of Illinois Urbana-Champaign
您将获得的技能: Python 编程, 模型评估, 探索性数据分析, 数据可视化软件, 数据预处理, 机器学习, Matplotlib, 无监督学习, 文本挖掘, Scikit Learn(机器学习库), 数据扫盲, 时间序列分析和预测, 查询语言, Pandas(Python 软件包), 预测建模, Tableau 软件, Seaborn, 机器学习算法, 数据可视化, 数据展示
攻读学位
中级 · 专项课程 · 3-6 个月

LearnQuest
您将获得的技能: Python 编程, 应用编程接口 (API), 模型部署, 人工智能和机器学习(AI/ML), 数据科学, 机器学习, 计算机视觉, 自然语言处理, 机器学习算法, 图像分析, Microsoft Azure
高级设置 · 课程 · 1-3 个月

Packt
您将获得的技能: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
中级 · 专项课程 · 1-3 个月

您将获得的技能: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
高级设置 · 指导项目 · 不超过 2 小时