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。

University of Maryland, College Park
您将获得的技能: Model Evaluation, Apache Hadoop, Machine Learning Methods, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Customer Insights, Advanced Analytics, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics
初级 · 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

H2O.ai
您将获得的技能: 异常检测, 模型评估, 决策树学习, 深度学习, 无监督学习, 数据预处理, 自动编码器, 监督学习, 数据操作, 随机森林算法, 降维, 应用机器学习, 预测建模, 功能工程, 分类算法, 机器学习
中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets
混合 · 课程 · 1-3 个月

您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction, Model Deployment
中级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 模型评估, 深度学习, Machine Learning 方法, 张力流, 数据预处理, 验证和确认, 性能调整, 人工神经网络
中级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Customer Demand Planning, Machine Learning, Data Science, Data Analysis
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: 模型评估, Google 云端平台, MLOps(机器学习 Operator), 云部署, 持续部署, 持续集成, Devops, 模型部署, 自动化, 数据管道, 机器学习
中级 · 课程 · 1-4 周

University of Alberta
您将获得的技能: 模型评估, 强化学习, 机器学习算法, 马尔可夫模型, Algorithm, 性能调整, 模拟, 人工智能和机器学习(AI/ML), 机器学习, 性能测试, 人工神经网络
中级 · 课程 · 1-3 个月

Imperial College London
您将获得的技能: Python 程序设计, 无监督学习, 数据预处理, 微积分, 降维, 统计, 线性代数, Jupyter, 功能工程, NumPy, 高等数学
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 人工智能, 深度学习, 数据伦理, 负责任的人工智能, 机器学习, AI 产品战略, 数据科学, 人工神经网络, AI 赋能
初级 · 课程 · 1-4 周