Random Forest 课程可以帮助您学习决策树算法、Ensemble 方法、Feature Selection 和模型评估技术。您可以掌握数据预处理、超参数调整和解释模型输出的技能。许多课程会介绍 Python 的 Scikit-learn 和 R 的 randomForest 包等工具,展示如何将这些技能应用于分类、回归和处理大型数据集等任务。

Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
中级 · 课程 · 1-3 个月

University of California San Diego
您将获得的技能: 模型评估, 数据分析, 无监督学习, 数据预处理, 回归分析, 统计分析, 监督学习, 预测建模, Apache Spark, 应用机器学习, 分类算法, 大数据, 探索性数据分析, 机器学习, 数据挖掘
混合 · 课程 · 1-3 个月

IBM
您将获得的技能: Python 程序设计, 模型评估, 决策树学习, Scikit-learn (机器学习库), 无监督学习, 回归分析, 监督学习, 降维, 应用机器学习, 预测建模, 逻辑回归, 功能工程, 分类算法, 机器学习
中级 · 课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Python 程序设计, 人工智能, 模型评估, 无监督学习, Scikit-learn (机器学习库), 数据预处理, 监督学习, 回归分析, 逻辑回归, 预测建模, Jupyter, 分类算法, NumPy, 功能工程, 机器学习
初级 · 课程 · 1-4 周

您将获得的技能: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment
初级 · 课程 · 1-3 个月

Packt
您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: 张力流, 深度学习, Keras(神经网络库), 迁移学习, 卷积神经网络, 应用机器学习, 机器学习, 图像分析
初级 · 项目 · 不超过 2 小时

Johns Hopkins University
您将获得的技能: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
中级 · 课程 · 1-3 个月