个结果，搜索词为 "machine learning software"
您将获得的技能: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
您将获得的技能: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
您将获得的技能: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks
多位教师
您将获得的技能: 数据伦理, 机器学习算法, 模型评估, Model Evaluation, 机器学习, 深度学习, 预测建模, 监督学习, Jupyter, 应用机器学习, 决策树学习, Transfer Learning, 无监督学习, 模型培训, 人工智能, Scikit Learn（机器学习库）, NumPy, 迁移学习, 负责任的人工智能, 分类算法, 机器学习方法, 张力流
您将获得的技能: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Google Cloud
您将获得的技能: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing
是什么让您今天来到 Coursera？
您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
DeepLearning.AI
您将获得的技能: 数学软件, 机器学习, 应用机器学习, 模型优化, 应用数学, 统计方法, 贝叶斯统计, 概率, 降维, 统计推理, 统计资料, 抽样（统计）, 统计假设检验, 概率与统计, 描述性统计, 微积分, 数据转换, 概率分布, 机器学习方法, 线性代数
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, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software
University of Washington
您将获得的技能: 机器学习算法, 模型评估, Model Evaluation, 机器学习, 图像分析, 预测建模, 应用机器学习, 监督学习, 贝叶斯统计, 逻辑回归, 统计机器学习, 无监督学习, 模型培训, 功能工程, 统计建模, 回归分析, 人工智能和机器学习（AI/ML）, 机器学习方法, 人工智能个性化, 数据挖掘, 分类算法
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, Python Programming, Statistical Modeling, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy
IBM
您将获得的技能: Python 编程, 机器学习, 生成式对抗网络（GANs）, 生成式人工智能, 深度学习, 监督学习, 探索性数据分析, 数据科学, 无监督学习, 降维, 功能工程, 回归分析, 人工智能和机器学习（AI/ML）, 分类算法, 时间序列分析和预测, 卷积神经网络, 生成模型架构, 自动编码器, 递归神经网络 (RNN), 强化学习
总之，以下是 10 最受欢迎的 machine learning software 课程
- Machine Learning and Deep Learning for Software Engineers: Board Infinity
- Machine Learning Made Easy for Software Engineers: Coursera
- Python Machine Learning By Example: Packt
- 机器学习: DeepLearning.AI
- Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
- Machine Learning on Google Cloud: Google Cloud
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- 机器学习和数据科学数学: DeepLearning.AI
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 机器学习: University of Washington
