您将获得的技能: AI 个性化服务, 自然语言处理, 机器学习, 深度学习, 模型评估, 医学术语, 临床试验, 统计分析, 应用机器学习, 病人治疗, 文本挖掘, 数据分析, 健康信息学, 治疗计划

您将获得的技能: Software Testing, White-Box Testing, System Testing, Functional Testing, JUnit, Performance Testing, Debugging, Unit Testing, Test Automation, Test Case, Integration Testing, Selenium (Software), Mobile Development Tools

您将获得的技能: 数据科学, 回归分析, 分类算法, 深度学习, 机器学习, 强化学习, 应用机器学习, 无监督学习, 预测建模, 模型评估, 监督学习, 人工智能

您将获得的技能: PyTorch（机器学习库）, 数据伦理, 负责任的人工智能, 生成对抗网络 (GAN), 生成式人工智能, 模型评估, 机器学习, 生成模型架构, 无监督学习, 图像质量

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

您将获得的技能: 回归分析, 分类算法, 机器学习, 性能指标, 统计建模, 应用机器学习, 统计分析, 数据预处理, 逻辑回归, 预测建模, 测试数据, 监督学习, 功能工程, 模型评估, 机器学习算法

您将获得的技能: Microservices, Cloud Infrastructure, Application Deployment, Cloud Security, Network Architecture, Google App Engine, Cloud Computing Architecture, Devops Tools, Kubernetes, API Design, Google Cloud Platform, Service Level, Cloud Storage, System Design and Implementation, System Monitoring, Service Design, Load Balancing, Scalability

您将获得的技能: 决策树学习, 监督学习, Scikit-learn （机器学习库）, 数据清理, 分类算法, 性能指标, 机器学习, 预测建模, 模型评估, 随机森林算法, 功能工程, 数据预处理, 逻辑回归, 抽样（统计）

您将获得的技能: 回归分析, 卷积神经网络, 分类与回归树 (CART), 自然语言处理, 人工神经网络, 深度学习, 递归神经网络 (RNN), 迁移学习, 机器学习, Keras（神经网络库）, 图像分析, 模型评估, 网络架构

您将获得的技能: 公共卫生, 电子病历, 互操作性, 健康技术, 医疗保健, 远程保健, 流行病学, 健康差异, 数字扫盲, 大数据, 机器学习, 卫生系统, 健康信息学, 人工智能

您将获得的技能: Video Editing, Storyboarding, Video Production, Storytelling, Videography, Cinematography, Photography, Post-Production, Editing, Peer Review, Writing, Content Creation, Writing and Editing, Scripting, Creativity

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, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming