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。

您将获得的技能: Verification And Validation, Data Pipelines
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
中级 · 专项课程 · 1-3 个月

您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月

您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
中级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
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中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 深度学习, 数学建模, 衍生产品, Python 编程, 应用数学, 可视化(计算机制图), 微积分, 数值分析, 机器学习, 人工神经网络
中级 · 课程 · 1-4 周

IBM
您将获得的技能: 统计假设检验, 统计方法, 探索性数据分析, 统计推理, 模型评估, 数据预处理, 监督学习, Scikit Learn(机器学习库), 降维, 回归分析, 分类算法, 机器学习算法, 应用机器学习, 逻辑回归, 无监督学习, 预测建模, 机器学习, 功能工程, 数据访问, 异常检测
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
中级 · 专项课程 · 3-6 个月

您将获得的技能: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling
初级 · 专项课程 · 3-6 个月
您将获得的技能: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines
高级设置 · 课程 · 1-4 周

Alberta Machine Intelligence Institute
您将获得的技能: 数据伦理, 模型部署, 模型评估, 数据预处理, MLOps(机器学习运营), 项目管理, 产品生命周期管理, 功能工程, 负责任的人工智能, 数据清理, 机器学习算法, 决策树学习, Jupyter, 监督学习, 数据验证, 机器学习, 数据质量, 应用机器学习, 分类算法, 业务运营
中级 · 专项课程 · 3-6 个月
University of London
您将获得的技能: 数据收集, 模型评估, 数据预处理, 人工智能, 数据分析, 机器学习, 图像分析, 分类算法
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初级 · 课程 · 1-4 周