
您将获得的技能: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
混合 · 课程 · 1-4 周

Alberta Machine Intelligence Institute
您将获得的技能: 企业战略, 风险缓解, 利益攸关方沟通, 系统集成, 机器学习, 负责任的人工智能, 性能指标, MLOps(机器学习 Operator), 道德标准与行为, 业务运营, 应用机器学习, 数据维护
混合 · 课程 · 1-4 周

您将获得的技能: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics
混合 · 课程 · 1-4 周

Packt
您将获得的技能: AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks
中级 · 专项课程 · 3-6 个月

您将获得的技能: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm
初级 · 指导项目 · 不超过 2 小时

University of Michigan
您将获得的技能: Data Mining, Data Processing, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Python Programming
高级设置 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 回归分析, 预测建模, 张力流, Scikit-learn (机器学习库), 人工神经网络, 监督学习, 机器学习, 随机森林算法, Python 程序设计, Keras(神经网络库), 深度学习, 分类与回归树 (CART)
中级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Data-Driven Decision-Making
混合 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Patient Communication, Clinical Research, Healthcare Industry Knowledge, Probability & Statistics, Clinical Assessment, Health Informatics, Health Policy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities
初级 · 课程 · 1-4 周

University of Washington
您将获得的技能: 机器学习算法, 预测建模, 监督学习, 概率与统计, 可扩展性, 机器学习, 功能工程, 风险, 数据清理, 文本挖掘, 自然语言处理, 大数据, 应用机器学习, Algorithm, 分类与回归树 (CART)
混合 · 课程 · 1-3 个月

您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming
初级 · 指导项目 · 不超过 2 小时

Johns Hopkins University
您将获得的技能: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)
中级 · 课程 · 1-3 个月