您将获得的技能: 自然语言处理, 张力流, 生成式人工智能, 递归神经网络 (RNN), 数据预处理, 机器学习, 应用机器学习, 嵌入, 文本挖掘, 人工神经网络

您将获得的技能: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

您将获得的技能: 业务建模, 回归分析, 统计建模, 预测, 数学建模, 预测分析, 商业分析, 概率, 模拟和模拟软件, 风险分析, 逻辑回归, 词汇

您将获得的技能: 面向对象编程（OOP）, Algorithm, 数据结构, 集成开发环境, 编程原则, Scala 编程, 计算机编程, 功能设计, 计算思维, 单元测试

您将获得的技能: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

您将获得的技能: 局域网, TCP/IP, 数字通信, Network Protocol（网络协议, 电信, 图论, Algorithm, Networking 路由器, 网络规划与设计, 网络基础设施, 网络架构, 系统编程, 无线网络, Network 性能管理, Network Security, 计算机网络, 动态主机配置协议（DHCP）, 路由协议, OSI 模型, 软件定义网络

您将获得的技能: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

您将获得的技能: Python 程序设计, 回归分析, 衍生产品, 微积分, 数学建模, 机器学习算法, 人工神经网络, 高等数学, 线性代数

您将获得的技能: 可扩展性, Java 编程, 分布式计算, 数据结构, Algorithm, Scala 编程, 性能调整, 功能设计

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing

您将获得的技能: 技术写作, 数据可视化软件, 分类算法, 自然语言处理, 分析, Algorithm, 探索性数据分析, 数据整合, 数据分析, 模型评估, 创新, 数据挖掘, 功能工程, 文本挖掘, 数据展示, 大数据, 非结构化数据

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