您将获得的技能: 微软 Azure, 无监督学习, 人工智能和机器学习（AI/ML）, 监督学习, 应用机器学习, 无代码开发, MLOps（机器学习 Operator）, 模型部署, 预测建模, 人工智能, 回归分析, 机器学习, 分类算法

您将获得的技能: 微软 Azure, 模型评估, 持续监测, 数据预处理, 负责任的人工智能, 信息隐私, MLOps（机器学习 Operator）, 数据伦理, 模型部署, 云计算, 数据安全, 数据库, 数据管道, 性能调整, 机器学习

您将获得的技能: Flask（网络框架）, 模型评估, 机器学习算法, 数据操作, 数据处理, 数据可视化软件, 监督学习, 预测分析, 模型部署, 功能工程, 预测建模, 应用机器学习, Python 程序设计, MLOps（机器学习 Operator）, 网页抓取, 数据可视化, 设计思维, 机器学习, 分类算法, Data Validation

您将获得的技能: 微软 Azure, Apache Spark, 模型评估, 数据处理, 大数据, 机器学习软件, 探索性数据分析, PySpark, 深度学习, 分布式计算, MLOps（机器学习 Operator）, 模型部署, 机器学习, 数据库, 数据转换, 回归分析

您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

您将获得的技能: 生成式人工智能, 解决复杂问题, 用户界面（UI）, 云计算, 可扩展性, 模型部署, 人工智能, 机器学习, MLOps（机器学习 Operator）, AI 赋能, Google 云端平台, 批判性思维

您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning

您将获得的技能: Data Transformation, Dataflow, Google Cloud Platform, Data Pipelines, Extract, Transform, Load, Data Lakes, Real Time Data, Tensorflow, Data Governance, Apache Kafka, Data Warehousing, Data Quality, MLOps (Machine Learning Operations), Data Infrastructure, Data Migration, Data Architecture, Apache Spark, Model Deployment, Data Processing, Big Data

您将获得的技能: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

您将获得的技能: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

您将获得的技能: 微软 Azure, 负责任的人工智能, 模型评估, 数据预处理, 人工智能和机器学习（AI/ML）, 应用机器学习, 模型部署, 深度学习, 预测建模, 数据库, 数据科学, 机器学习, MLOps（机器学习 Operator）

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision