您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

您将获得的技能: Prompt Engineering, Generative AI Agents, AI Personalization, Responsible AI, LLM Application, Language Competency, Language Learning, ChatGPT, Vocabulary, Communication, Writing

您将获得的技能: Python 程序设计, 分类算法, 决策树学习, 机器学习, 模型评估, 人工神经网络, Scikit-learn （机器学习库）, 随机森林算法, 回归分析, 预测建模, 功能工程, 无监督学习, 应用机器学习, 监督学习

您将获得的技能: 开发环境, 脚本, 张力流, 机器学习, 人工神经网络, 云计算, Google 云端平台, 深度学习, 监督学习

您将获得的技能: 分类算法, 卷积神经网络, 模型评估, Machine Learning 方法, PyTorch（机器学习库）, 人工神经网络, 应用机器学习, 深度学习, 人工智能和机器学习（AI/ML）, 逻辑回归, 监督学习

您将获得的技能: Python 程序设计, 分类算法, Scikit-learn （机器学习库）, 决策树学习, 模型评估, 机器学习, 降维, 无监督学习, 应用机器学习, 功能工程, 监督学习, 回归分析, 逻辑回归, 预测建模

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

您将获得的技能: 决策支持系统, 数据驱动的决策制定, 机器学习, 概率分布, 模拟, 统计方法, 强化学习, 马尔可夫模型, Algorithm, 人工智能和机器学习（AI/ML）, 深度学习

您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings

您将获得的技能: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning

您将获得的技能: 计算机视觉, 迁移学习, 卷积神经网络, 模型部署, 自然语言处理, 数据预处理, 概率分布, 贝叶斯统计, 模型评估, 人工神经网络, 张力流, 数据管道, 应用机器学习, 递归神经网络 (RNN), 生成模型架构, 图像分析, 自动编码器, 深度学习, 监督学习, Keras（神经网络库）

您将获得的技能: Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, User Experience Design, Design, Design Thinking, Disabilities, Brainstorming, Education Software and Technology, Professional Development, Needs Assessment, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, User Centered Design, Prototyping, Design Strategies