您将获得的技能: A/B 测试, 抽样（统计）, 数值分析, 数据转换, 数学建模, 应用数学, 描述性统计, 统计分析, NumPy, 线性代数, 概率, 降维, 机器学习, 微积分, 概率与统计, 统计假设检验, Machine Learning 方法, 概率分布, 贝叶斯统计, 统计推理

您将获得的技能: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms

您将获得的技能: Prompt Engineering, Generative AI, Dimensionality Reduction, Natural Language Processing, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Databases, Feature Engineering, Python Programming, Supervised Learning, Artificial Intelligence, Unsupervised Learning, Pandas (Python Package), Data Transformation, NumPy

您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Decision Tree Learning, Random Forest Algorithm, Python Programming, Performance Tuning

您将获得的技能: 机器学习算法, 分类与回归树 (CART), Python 程序设计, 回归分析, 降维, 机器学习, 统计分析, 应用机器学习, Scikit-learn （机器学习库）, 功能工程, 监督学习, 无监督学习, 预测建模

您将获得的技能: 数据操作, 衍生产品, 数据科学, Python 程序设计, 应用数学, 回归分析, 统计分析, 降维, 机器学习算法, 人工神经网络, NumPy, 微积分, 统计, 线性代数, 机器学习, 概率与统计, 高等数学, Machine Learning 方法, Algorithm, Jupyter

您将获得的技能: 机器学习算法, 数据清理, 数据处理, 分类与回归树 (CART), MLOps（机器学习 Operator）, 道德标准与行为, 负责任的人工智能, 监督学习, 产品生命周期管理, 测试数据, 数据质量, 数据伦理, 项目管理, 功能工程, 机器学习, 应用机器学习, Machine Learning 方法, 业务运营, 数据验证, Jupyter

您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

您将获得的技能: Engineering Practices, Matlab, Engineering Calculations, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Artificial Neural Networks

您将获得的技能: 社交网络分析, 高级分析, 财务分析, 风险分析, 网页抓取, 网络分析, 投资回报, 文本挖掘, 财务数据, 资产管理, 投资组合管理, 投资管理, 应用机器学习, 机器学习, 金融建模, 市场数据, 金融市场, 非结构化数据, 数据可视化软件, 风险管理

您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning