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, 模型评估, 分类算法, 数据伦理, NumPy, Scikit Learn（机器学习库）, 强化学习, 随机森林算法, 迁移学习, 深度学习, Jupyter, 机器学习, 数据预处理, 应用机器学习, 决策树学习, 监督学习, 功能工程, 张力流, 预测建模, 无监督学习
状态：免费试用DeepLearning.AI
您将获得的技能: 统计假设检验, A/B 测试, 数学建模, 描述性统计, 概率与统计, 抽样（统计）, 数值分析, 机器学习方法, NumPy, 降维, 贝叶斯统计, 机器学习, 线性代数, 数据预处理, 概率, 统计分析, 概率分布, 统计推理, 应用数学, 微积分
状态：免费试用Imperial College London
您将获得的技能: Python 编程, 数学建模, 衍生产品, 降维, NumPy, 统计资料, 算法, 机器学习算法, 数据预处理, 线性代数, 功能工程, 高等数学, 人工神经网络, Jupyter, 应用数学, 微积分, 无监督学习, 回归分析
状态：免费试用IBM
您将获得的技能: 生成式对抗网络（GANs）, 卷积神经网络, Python 编程, 分类算法, 统计方法, 降维, 数据科学, 深度学习, 强化学习, 机器学习, 数据预处理, 递归神经网络 (RNN), 数据分析, 探索性数据分析, 监督学习, 无监督学习, 功能工程, 时间序列分析和预测, 自动编码器, 回归分析
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：新状态：免费试用您将获得的技能: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
是什么让您今天来到 Coursera？
状态：免费试用University of Washington
您将获得的技能: 统计建模, 分类算法, 计算机视觉, 人工智能, 监督学习, 模型评估, 深度学习, 贝叶斯统计, 统计机器学习, 数据预处理, 机器学习, 无监督学习, 功能工程, 逻辑回归, 决策树学习, 应用机器学习, 数据挖掘, 图像分析, 预测建模, 回归分析
状态：免费试用Duke University
您将获得的技能: Python 编程, Microsoft Azure, 负责任的人工智能, 模型部署, 大数据, 集装箱化, NumPy, 数据操作, 拥抱的脸, 机器学习, DevOps, 数据分析, GitHub, Pandas（Python 软件包）, 数据管理, Data Management, 云部署, 云计算, AWS SageMaker, 探索性数据分析, MLOps（机器学习运营）
状态：免费试用您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
状态：免费试用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), Machine Learning Algorithms, Cloud Computing
状态：免费试用您将获得的技能: Python 编程, 分类算法, 模型评估, 降维, Scikit Learn（机器学习库）, 监督学习, 机器学习, 决策树学习, 应用机器学习, 逻辑回归, 功能工程, 预测建模, 无监督学习, 回归分析
状态：新状态：预览您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric
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
- 机器学习数学: Imperial College London
- IBM 机器学习: IBM
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Apply Machine Learning for Predictive Business Analytics: EDUCBA
- 机器学习: University of Washington
- MLOps | 机器学习运营: Duke University
- The Nuts and Bolts of Machine Learning: Google
- Machine Learning on Google Cloud: Google Cloud
