您将获得的技能: Feature Engineering, Responsible AI, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing

您将获得的技能: Blended Learning, Digital pedagogy, Education Software and Technology, Emerging Technologies, Digital Transformation, Innovation

您将获得的技能: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation

您将获得的技能: Algorithm, 监督学习, 机器学习算法, 分类算法, 预测建模, 回归分析, 功能工程, 决策树学习, 应用机器学习, 性能调整, 模型评估, 随机森林算法

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning

您将获得的技能: 无监督学习, 探索性数据分析, Apache Spark, 数据预处理, 统计分析, 机器学习, 监督学习, 大数据, 分类算法, 预测建模, 回归分析, 应用机器学习, 数据分析, 模型评估, 数据挖掘

您将获得的技能: Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Machine Learning Software, Clinical Informatics, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis

您将获得的技能: Developing Training Materials, Educational Materials, Classroom Management, Course Development, Teaching, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Student Engagement, Resource Utilization, Network Planning And Design

您将获得的技能: 无监督学习, 业务要求, 监督学习, 数据预处理, 机器学习, 产品生命周期管理, 案例研究, 应用机器学习, 数据收集, 机器学习算法, 数据质量, 数据伦理, 商业分析, 人工智能

您将获得的技能: 数据管理, 数据管道, 机器学习, 数据预处理, 模型部署, 数据转换, 张力流, 预测建模, 云计算, MLOps（机器学习 Operator）, Data Governance, AI 工作流程, 模型评估, Google 云端平台

您将获得的技能: 投资组合风险, 人工神经网络, 递归神经网络 (RNN), 风险管理, 马尔可夫模型, 时间序列分析和预测, 金融交易, 应用机器学习, 金融市场, 人工智能和机器学习（AI/ML）, 投资组合管理, 深度学习, 强化学习

您将获得的技能: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)