您将获得的技能: Education Software and Technology, Supervised Learning, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, Data Mining, Learning Theory, Human Computer Interaction, Natural Language Processing

您将获得的技能: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning

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

您将获得的技能: 迁移学习, 人工智能和机器学习（AI/ML）, 调试, 模型评估, AI 工作流程, AI 产品战略, 机器学习, 数据驱动的决策制定, 应用机器学习, 性能调整, 深度学习

您将获得的技能: 技术管理, 项目管理生命周期, 数据收集, 模型部署, 数据科学, 数据管道, 数据预处理, MLOps（机器学习 Operator）, 人工智能和机器学习（AI/ML）, 模型评估, 数据管理, Data Management, 系统设计, 项目管理, 机器学习, 应用机器学习, 市场机遇, 数据清理, 技术解决方案, 数据质量, 软件开发方法

您将获得的技能: Python 程序设计, 数据分析, 数据科学, 分类算法, 数据预处理, 决策树学习, Scikit-learn （机器学习库）, NumPy, 监督学习, 随机森林算法, 模型评估, 回归分析, 逻辑回归, 机器学习算法, 功能工程, 机器学习, 应用机器学习, 性能调整, 探索性数据分析

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

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

您将获得的技能: Bioinformatics, Biotechnology, Biostatistics, Informatics, Molecular Biology, Predictive Modeling, Data Analysis Software, Data Processing, Statistical Analysis

您将获得的技能: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

您将获得的技能: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

您将获得的技能: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation