机器学习课程可以帮助您学习算法、数据预处理、模型 Evaluation 和神经网络。您可以掌握回归分析、分类技术和聚类方法方面的技能。许多课程都会介绍 Python、TensorFlow 和 Scikit-learn 等工具,展示如何在实际应用中使用这些技术来实施机器学习解决方案。

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
攻读学位
中级 · 专项课程 · 3-6 个月

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
中级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Performance Tuning, Continuous Monitoring, Performance Analysis, Scalability
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
中级 · 课程 · 1-4 周

您将获得的技能: PyTorch(机器学习库), 人工智能和机器学习(AI/ML), 深度学习, 模型评估, 人工神经网络, 应用机器学习, 卷积神经网络, Machine Learning 方法, 分类算法, 监督学习, 逻辑回归
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
中级 · 专业证书 · 1-3 个月

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 1-3 个月

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月

IBM
您将获得的技能: 人工智能, 预测建模, 深度学习, 强化学习, 机器学习, 模型评估, 回归分析, 应用机器学习, 数据科学, 分类算法, 监督学习, 无监督学习
初级 · 课程 · 1-4 周

IBM
您将获得的技能: Python 程序设计, PyTorch(机器学习库), 计算机视觉, PySpark, 检索-增强生成, 矢量数据库, 监督学习, 生成模型架构, 机器学习, LLM 申请, 模型评估, Prompt Engineering, 大型语言模型, 生成式人工智能, 视觉转换器(ViT), Apache Spark, 数据科学, 无监督学习, Keras(神经网络库), 迁移学习
攻读学位
中级 · 专业证书 · 3-6 个月

Sungkyunkwan University
您将获得的技能: Python 程序设计, 统计方法, Scikit-learn (机器学习库), 监督学习, 线性代数, 模型评估, 机器学习, 回归分析, 应用机器学习, 分类算法, 逻辑回归, 概率
混合 · 课程 · 1-4 周