您将获得的技能: 应用数学, 机器学习, Python 程序设计, 降维, NumPy, 数据操作, 数据转换, 数据科学, 线性代数, Machine Learning 方法, 数学建模

您将获得的技能: Supervised Learning, Unsupervised Learning, 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), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

您将获得的技能: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

您将获得的技能: 数据处理, 机器学习, 软件测试, 机器学习算法, 计算机视觉, 人工智能, 数据分析, 数据收集

您将获得的技能: 生成式人工智能, 机器学习, 调试, 人工智能和机器学习（AI/ML）, 监督学习, 计算机视觉, 大型语言模型, Python 程序设计, PyTorch（机器学习库）, 应用机器学习, 数据驱动的决策制定, 深度学习, MLOps（机器学习 Operator）, 人工智能, 自然语言处理, Keras（神经网络库）, 图像分析, 张力流, 性能调整, 人工神经网络

您将获得的技能: 探索性数据分析, GitHub, 机器学习, NumPy, 数据管道, AWS SageMaker, 负责任的人工智能, CI/CD, 数据管理, Data Management, 数据操作, Python 程序设计, 云计算, Devops, MLOps（机器学习 Operator）, 集装箱化, 应用程序部署, 微软 Azure, 大数据, 数据分析, Pandas（Python 软件包）

您将获得的技能: 机器学习, 无监督学习, 预测建模, 深度学习, 数据科学, 人工智能, 性能指标, 强化学习, 监督学习, 分类与回归树 (CART)

您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning

您将获得的技能: 大型语言模型, 机器学习, Apache Spark, 无监督学习, 监督学习, 深度学习, Python 程序设计, 计算机视觉, Prompt Engineering, PySpark, 生成式人工智能, LLM 申请, 应用机器学习, Keras（神经网络库）, PyTorch（机器学习库）, 自然语言处理, 强化学习, 功能工程, 数据科学, Jupyter

您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

您将获得的技能: 决策树学习, 机器学习, 监督学习, 深度学习, 数据伦理, 负责任的人工智能, 张力流, 随机森林算法, 人工神经网络, 性能调整, 分类与回归树 (CART)

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Generative AI, Google Cloud Platform, Tensorflow, Dataflow, Big Data, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Computing