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, Model Evaluation, 预测建模, 深度学习, 数据伦理, 监督学习, 无监督学习, NumPy, 张力流, 分类算法, Jupyter, 数据预处理, 强化学习, Scikit-learn （机器学习库）, 功能工程, 随机森林算法, 应用机器学习, Transfer Learning, 机器学习, 决策树学习
状态：免费试用DeepLearning.AI
您将获得的技能: 统计分析, 贝叶斯统计, A/B 测试, 数值分析, 统计推理, 抽样（统计）, NumPy, 概率, 概率分布, 降维, 应用数学, 数学建模, 微积分, 统计假设检验, 概率与统计, Machine Learning 方法, 机器学习, 描述性统计, 数据预处理, 线性代数
状态：免费试用IBM
您将获得的技能: 卷积神经网络, 统计方法, 探索性数据分析, 深度学习, 监督学习, 无监督学习, 自动编码器, 降维, 回归分析, Python 程序设计, 生成对抗网络 (GAN), 强化学习, 数据预处理, 分类算法, 时间序列分析和预测, 功能工程, 数据科学, 数据分析, 递归神经网络 (RNN), 机器学习
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University of Washington
您将获得的技能: 逻辑回归, 计算机视觉, Model Evaluation, 深度学习, 预测建模, 贝叶斯统计, 无监督学习, 人工智能, 统计建模, 回归分析, 监督学习, 统计机器学习, 数据预处理, 分类算法, 功能工程, 决策树学习, 应用机器学习, 数据挖掘, 机器学习, 图像分析
状态：预览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
是什么让您今天来到 Coursera？
状态：免费试用Imperial College London
您将获得的技能: Algorithm, 机器学习算法, 衍生产品, 无监督学习, NumPy, 回归分析, 应用数学, 降维, 人工神经网络, 统计, Python 程序设计, 数据预处理, 功能工程, 微积分, 数学建模, 高等数学, Jupyter, 线性代数
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, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric
状态：免费试用Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
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
状态：免费试用您将获得的技能: Model Evaluation, 无监督学习, 预测建模, 逻辑回归, 回归分析, 监督学习, Python 程序设计, 降维, 分类算法, Scikit-learn （机器学习库）, 机器学习, 应用机器学习, 功能工程, 决策树学习
状态：新状态：免费试用您将获得的技能: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
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
- IBM 机器学习: IBM
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 机器学习: University of Washington
- Machine Learning: O.P. Jindal Global University
- 机器学习数学: Imperial College London
- Getting Started with Automated Machine Learning (AutoML): Edureka
- Applied Machine Learning: Johns Hopkins University
- Apply Machine Learning for Predictive Business Analytics: EDUCBA
