个结果，搜索词为 "machine learning software"
状态：免费试用多位教师
您将获得的技能: 人工智能, 无监督学习, 机器学习, 分类算法, 张力流, 监督学习, 深度学习, NumPy, 决策树学习, 数据伦理, Transfer Learning, 数据预处理, 随机森林算法, Jupyter, 应用机器学习, Model Evaluation, 强化学习, 功能工程, 预测建模, Scikit-learn （机器学习库）
状态：免费试用DeepLearning.AI
您将获得的技能: 统计分析, A/B 测试, 机器学习, 抽样（统计）, 微积分, 描述性统计, 应用数学, NumPy, 统计假设检验, 降维, 概率, 概率分布, 贝叶斯统计, 线性代数, 统计推理, 数值分析, 数据预处理, Machine Learning 方法, 概率与统计, 机器学习算法
状态：免费试用状态：人工智能技能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
状态：免费试用Imperial College London
您将获得的技能: 统计, 微积分, 无监督学习, 数学建模, Python 程序设计, 应用数学, 降维, 衍生产品, NumPy, 数据预处理, 线性代数, 功能工程, Algorithm, 回归分析, 机器学习算法, Jupyter, 人工神经网络, 高等数学
状态：新状态：免费试用您将获得的技能: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
状态：免费试用Duke University
您将获得的技能: 数据操作, 云计算, 模型部署, 机器学习, NumPy, Pandas（Python 软件包）, 拥抱的脸, MLOps（机器学习 Operator）, 微软 Azure, Python 程序设计, GitHub, 大数据, 云部署, 数据分析, Devops, 集装箱化, 负责任的人工智能, 数据管理, 探索性数据分析, AWS SageMaker
是什么让您今天来到 Coursera？
状态：免费试用Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Image Analysis, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
状态：免费试用IBM
您将获得的技能: 卷积神经网络, 机器学习, 监督学习, 分类算法, 无监督学习, Python 程序设计, 降维, 深度学习, 数据预处理, 功能工程, 数据分析, 数据科学, 生成对抗网络 (GAN), 探索性数据分析, 时间序列分析和预测, 统计方法, 强化学习, 递归神经网络 (RNN), 回归分析, 自动编码器
状态：免费试用University of Washington
您将获得的技能: 人工智能, 机器学习, 无监督学习, 分类算法, 深度学习, 监督学习, 决策树学习, 计算机视觉, 统计机器学习, 数据预处理, 贝叶斯统计, 逻辑回归, 统计建模, 功能工程, 应用机器学习, 回归分析, 数据挖掘, 预测建模, Model Evaluation, 图像分析
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Responsible AI, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing
状态：免费试用您将获得的技能: 无监督学习, 机器学习, 分类算法, Python 程序设计, 决策树学习, 监督学习, 降维, 逻辑回归, 应用机器学习, 功能工程, 回归分析, 预测建模, Scikit-learn （机器学习库）, Model Evaluation
状态：免费试用您将获得的技能: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 machine learning software 课程
- 机器学习: DeepLearning.AI
- 机器学习和数据科学数学: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 机器学习数学: Imperial College London
- Level Up: Java-Powered Machine Learning: Coursera
- MLOps | 机器学习运营: Duke University
- Advanced Machine Learning on Google Cloud: Google Cloud
- IBM 机器学习: IBM
- 机器学习: University of Washington
- Machine Learning on Google Cloud: Google Cloud
