您将获得的技能: Generative AI, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

您将获得的技能: 机器学习, 自然语言处理, 投资, 大数据, 环境、社会和公司治理（ESG）, 财务数据, 数据收集, 可持续商业, 投资管理, 实时数据, 分析, 商业道德, 人工智能, 尽职调查, 金融市场, 市场数据

您将获得的技能: 机器学习, 数据驱动的决策制定, 政治科学, 数据展示, 道德标准与行为, 数据分析, 分析, 模型评估, 政策分析, 负责任的人工智能, 数据伦理, 案例研究, R 语言程序设计（中文版）, 公共政策

您将获得的技能: 机器学习, 分类算法, Data Validation, 机器学习算法, 计算机视觉, Matlab, 模型评估, 深度学习, 人工智能和机器学习（AI/ML）, 图像分析, Machine Learning 方法, 数据预处理

您将获得的技能: 机器学习, 张力流, 数据导入/导出, Keras（神经网络库）, 人工神经网络, 模型评估, ChatGPT, 数据预处理, 性能调整, Machine Learning 方法, 应用机器学习, Python 程序设计, 图像分析

您将获得的技能: Large Language Modeling, Generative AI, Writing, Data Ethics, Responsible AI, Artificial Intelligence, Technical Writing, Model Evaluation, Machine Learning, Information Privacy

您将获得的技能: 机器学习算法, 机器学习, 分类算法, 预测建模, 统计建模, 模型评估, 线性代数, 无监督学习, 回归分析, 性能调整, 监督学习

您将获得的技能: Responsible AI, Predictive Modeling, Business Transformation, Data-Driven Decision-Making, Business Leadership, Data Science, Business Ethics, Business Analytics, Organizational Change, Innovation, Strategic Leadership, AI Security, Artificial Intelligence, Natural Language Processing, Machine Learning, Computer Vision, IT Service Management

您将获得的技能: 分类算法, 机器学习, 预测建模, 数据清理, 人工神经网络, 降维, 无监督学习, 数据转换, 随机森林算法, Scikit-learn （机器学习库）, 数据预处理, 应用机器学习, Python 程序设计, 监督学习

您将获得的技能: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization

您将获得的技能: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

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, Data Strategy, Machine Learning, Embeddings, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Data Analysis, Deep Learning, Artificial Neural Networks