Feature Engineering
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状态：免费试用- 状态：免费试用状态：人工智能技能
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状态：免费试用Whizlabs
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在整个课程（说明和评估）中使用的语言。
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教师必需的
探索 Feature Engineering 课程目录
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage
状态：免费试用IBM
您将获得的技能: 探索性数据分析, 数据分析, 数据操作, 机器学习, 统计假设检验, 统计, 数据清理, 概率与统计, 数据处理, 统计方法, 统计推理, 统计分析, 数据转换, 数据访问, 功能工程
- 状态：免费试用
多位教师
您将获得的技能: 决策树学习, 分类与回归树 (CART), 人工智能和机器学习（AI/ML）, 监督学习, 机器学习, NumPy, Python 程序设计, 强化学习, 随机森林算法, 数据伦理, 人工智能, 应用机器学习, 负责任的人工智能, 深度学习, 无监督学习, 张力流, Scikit-learn （机器学习库）, 功能工程, 预测建模, Jupyter
状态：免费试用您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Transformation, Data Processing, Data Store, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods
状态：新状态：免费试用您将获得的技能: Feature Engineering, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Data Validation, Personally Identifiable Information, Machine Learning Methods
是什么让您今天来到 Coursera？
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
状态：免费试用IBM
您将获得的技能: 数据科学, 机器学习算法, 探索性数据分析, 数据分析, 回归分析, 机器学习, 监督学习, 无监督学习, 强化学习, 生成模型架构, 统计方法, 降维, 功能工程, 统计假设检验, Python 程序设计, 统计推理, 数据处理, 应用机器学习, 深度学习, 预测建模
Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, Data Pipelines, Data Processing, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Machine Learning, Statistical Methods
状态：免费试用您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Data Pipelines, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Artificial Intelligence, Machine Learning, Cloud Computing
状态：免费试用Stanford University
您将获得的技能: 药品, 数据伦理, 机器学习, 临床数据管理, 医疗保健, 医疗保健行业知识, 管理式医疗, 医疗账单, 健康信息学, 医疗保健伦理, 应用机器学习, 人工智能, 数据挖掘, 临床研究, 卫生系统, 功能工程, 电子病历, 负责任的人工智能, 临床研究伦理, 非结构化数据
- 状态：免费试用
Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Data Processing, Dimensionality Reduction, Data Pipelines, Keras (Neural Network Library), Data Transformation, Applied Machine Learning, Data Modeling, Machine Learning
