
Illinois Tech
您将获得的技能: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
攻读学位
中级 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Artificial Neural Networks
中级 · 专项课程 · 3-6 个月

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
中级 · 课程 · 1-4 周

Amazon Web Services
您将获得的技能: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy
混合 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming
初级 · 指导项目 · 不超过 2 小时

Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
中级 · 专项课程 · 3-6 个月

您将获得的技能: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 生成式人工智能, 机器学习, 数据分析, 数据转换, 数据科学, 负责任的人工智能, 模型部署, 数据管道, 数据库, Apache Spark, 大型语言模型, LLM 申请, MLOps(机器学习 Operator), 数据湖, 摘录, 拥抱的脸
初级 · 课程 · 1-4 周
CertNexus
您将获得的技能: 机器学习, 分类算法, 模型评估, 机器学习算法, 预测建模, 统计建模, 回归分析, 性能调整, 无监督学习, 监督学习, 线性代数
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Generative AI, Google Cloud Platform, Tensorflow, Artificial Intelligence, AI Workflows, Model Deployment, Big Data, Machine Learning, Prompt Engineering, Natural Language Processing
初级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: 机器学习, 数据伦理, 模型部署, 负责任的人工智能, 模型评估, 互操作性, 人工智能
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis
初级 · 指导项目 · 不超过 2 小时