应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具,这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。

University of Washington
您将获得的技能: 可扩展性, 分类算法, 自然语言处理, 概率与统计, 机器学习算法, 决策树学习, 大数据, 算法, 预测建模, 机器学习, 数据预处理, 逻辑回归, 文本挖掘, 监督学习, 模型评估, 应用机器学习
混合 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Patient Communication, Health Care Procedure and Regulation, Clinical Research, Model Evaluation, Data Ethics, Healthcare Industry Knowledge, Probability & Statistics, Health Technology, Clinical Assessment, Health Informatics, Medical Equipment and Technology, Responsible AI, Applied Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities
初级 · 课程 · 1-4 周

您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
中级 · 课程 · 1-3 个月

New York Institute of Finance
您将获得的技能: 数据管道, 金融交易, 深度学习, 市场趋势, Python 编程, 机器学习, Keras(神经网络库), 预测建模, 应用机器学习, 统计机器学习, 时间序列分析和预测, 模型评估, 金融市场, 张力流, 证券交易, 技术分析
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Data Analysis, Classification Algorithms, Data Collection, Data Cleansing, Image Analysis, Model Deployment, Regression Analysis, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing
中级 · 专项课程 · 3-6 个月
University of Michigan
您将获得的技能: Matplotlib, 图论, 网络分析, 无监督学习, 社交网络分析, Python 编程, 预测分析, 算法, 分析, 数据分析, 数据导入/导出, Pandas(Python 软件包)
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

University of Michigan
您将获得的技能: 可视化(计算机制图), Matplotlib, 数据可视化软件, 网络分析, 自然语言处理, 图论, 社交网络分析, NumPy, 交互式数据可视化, Python 编程, 功能工程, 应用机器学习, 模型评估, 数据预处理, 文本挖掘, 监督学习, 数据操作, Pandas(Python 软件包), 科学可视化, 数据可视化
中级 · 专项课程 · 3-6 个月

您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Analysis
混合 · 课程 · 1-4 周
University of Michigan
您将获得的技能: Matplotlib, 可视化(计算机制图), 数据可视化软件, NumPy, Python 编程, 交互式数据可视化, 数据展示, 制图, 统计可视化, 柱状图, Pandas(Python 软件包), 散点图, 数据操作, 科学可视化, 数据可视化
中级 · 课程 · 1-4 周

您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
初级 · 专项课程 · 1-3 个月
University of Michigan
您将获得的技能: 分类算法, 无监督学习, 自然语言处理, Python 编程, 功能工程, 数据预处理, Scikit Learn(机器学习库), 文本挖掘, 监督学习, Pandas(Python 软件包), 数据操作
中级 · 课程 · 1-4 周